Literature DB >> 25578980

Autofluorescence spectroscopy and imaging: a tool for biomedical research and diagnosis.

A C Croce1, G Bottiroli.   

Abstract

Native fluorescence, or autofluorescence (AF), consists in the emission of light in the UV-visible, near-IR spectral range when biological substrates are excited with light at suitable wavelength. This is a well-known phenomenon, and the strict relationship of many endogenous fluorophores with morphofunctional properties of the living systems, influencing their AF emission features, offers an extremely powerful resource for directly monitoring the biological substrate condition. Starting from the last century, the technological progresses in microscopy and spectrofluorometry were convoying attention of the scientific community to this phenomenon. In the future, the interest in the autofluorescence will certainly continue. Current instrumentation and analytical procedures will likely be overcome by the unceasing progress in new devices for AF detection and data interpretation, while a progress is expected in the search and characterization of endogenous fluorophores and their roles as intrinsic biomarkers.

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Year:  2014        PMID: 25578980      PMCID: PMC4289852          DOI: 10.4081/ejh.2014.2461

Source DB:  PubMed          Journal:  Eur J Histochem        ISSN: 1121-760X            Impact factor:   3.188


Introduction

The native fluorescence, or autofluorescence (AF) is a widespread phenomenon, because of the common presence of intrinsic biomolecules acting as endogenous fluorophores in the organisms of the whole life kingdom. The strict relationship of many endogenous fluorophores with morpho-functional properties of the living systems, which are influencing their AF emission features, affords an outstandingly powerful resource for the direct monitoring of the biological substrate condition. The attention of scientists to autofluorescence was accompanying the technological progresses in microscopy and spectrofluorometry starting from the 1900’s, and during the years, several articles and books reviewed the advancements in the investigation and use of AF in biological research and biomedical diagnosis.[1-8] These AF applications are part of a wider range of analytical procedures based on the interaction between electromagnetic radiations and biological material, defined as Optical biopsy. This term is actually used to describe the possibility to obtain diagnostic information in situ, in a non-invasive or minimally invasive manner, without removal of tissue specimens and in the absence of exogenous markes.[8-16] Given the huge number of AF based studies that makes a complete report of the overall studies almost impossible, in this review the history and technological progresses related to AF are briefly summarized, followed by the description of some selected topics of interest in biomedical research and diagnosis, implicating some experience of the authors.

Autofluorescence: a brief history

The emission of light from calcium fluoride and from the organic compounds quinine and chlorophyll in solution was reported early in 1838 by David Brewster in Scotland, and named fluorescence by George Stokes in Cambridge. As reviewed by Frederick H. Kasten,[2] the scientific community offered increasing interest in fluorescence observations in biological compounds in parallel with the development of suitable instrumentation, leading to the set-up of the first fluorescence microscopes. Autofluorescence is reported, in 1911, as the first form of fluorescence observed at the microscope by Stübel, a physiologist at Jena University who investigated AF of single cells such as bacteria and protozoa, of animal tissues as in the teeth, and of various biological substances. In the immediate next years, several researchers paid attention to ashes, plant tissues and products, and the eye lens, and attempts were made to use AF to discriminate bacterial pathogens. In comparison with animal substrates, the plant endogenous fluorophores were found to give rise to much more appreciable emission signals, because of their more favorable spectral properties and quantum efficiency. As a consequence, AF was considered a powerful tool to study plant morphology and physiology,[17-19] and many fluorochromes naturally present in plants such as quinones, coumarins, cyanines, tetrapyrroles and alkaloids were commercially extracted to be used as exogenous markers. The availability of these fluorochromes, in addition to those provided by chemical synthesis or modification of natural substances to make them fluorescent (e.g., the biogenic amines treated with formaldehyde),[20] led to an increasing development of highly selective and sensitive procedures for labeling subcellular components in cytology and histology.[4] In this concern, an increasing number of new products is made available by a continuous search and synthesis activity, as from the numerous commercial catalogues of fluorochromes/fluorescent dyes. In the application of exogenous and induced fluorescence-based assays, AF was often perceived as a nuisance, its signal resulting in a background which may hinder the specific detection of the exogenous marker emission. Different strategies were proposed to address this problem, for instance avoiding AF by proper optical filtering or its removal. The latter chance is important, in particular, when AF results in a wide wavelength range and/or high amplitude emission. AF background can be reduced by bleaching it through pre-irradiation, as successfully demonstrated to improve the DNA measurements after Feulgen staining in single cells, or the immunofluorescence labelling of the arterial vessels.[21,22] The high photolability of vitamin A was also exploited to selectively eliminate its unwanted AF signal from Ito stellate cells during the in vivo analysis of NADH fluorescence in the liver.[23] The signal from highly emitting endogenous fluorophores such as lipofuscins and elastin was also demonstrated to be reducible by chemical treatments before the staining procedures.[24,25] The use of fixatives also deserved attention. Aldehyde derivatives, for example, are well known to undergo condensation reactions with amines and proteins generating fluorescent products.[20,26] The consequent increase in the overall AF emission can thus affect the assays requiring fixation, in particular when specific fluorochromized biological probes (i.e., antibodies, lectins, receptor probes) are used to demonstrate the occurrence of targets which are present in very low amounts. In these cases, in the attempt to maximize the signal/background ratio, it can be suggested to use fluorophores with high quantum yield or with excitation/emission ranges longer than the blue region (which is the predominant one for most endogenous fluorophores). At present, the major chances to circumvent the AF adverse effects are actually offered by the improvement in the emission properties of exogenous fluorophores, in terms of quantum yield and of spectral position and narrowing to favor a selective optical filtering. While representing a complication when cells and tissue are labeled with exogenous fluorochromes, AF by itself encompasses a great potential in the analysis of animal organs and fluids for both research and diagnostic purposes. Actually, the morphological and metabolic conditions of cells and tissues are strictly influencing the nature, amount, physico-chemical state, intra-tissue distribution and microenvironment of the endogenous fluorophores: therefore, the consequent changes in the emission properties of these biomolecules make them to act as intrinsic biomarkers. The whole AF emission signal is thus carrying comprehensive information suitable for the direct and real-time characterization and monitoring of physiological or altered morpho-functional properties of cells and tissues, in the absence of exogenous marker perturbations. The first observations on the dependence of AF variations on tissue functional changes concerned porphyrins.[27-29]As reviewed by Kasten,[2] porphyrins were observed to be present in different sites, from the sebaceous plugs of human hair follicles to the Harderian gland of rodents, and their red fluorescence was considered as diagnostically meaningful, since at that time porphyrins were not otherwise detectable at the microscope. It is worth recalling that a noticeable increase of porphyrin fluorescence was remarked in relation with both metabolic disorders and the presence of neoplasia,[27,30] these observations being particularly predictive of the later development leading to the currently applied Photo-Dynamic Diagnosis and Photo-Dynamic Therapy (PDD PDT).[31] In the same early times, a variety of vitamins (e.g., vitamin A, riboflavin, thiamin) and other substrates (such as lipofuscins, structural proteins, ceroid pigments) were identified as natural fluorophores by Herwig Hampler at the University of Vienna (Austria), who began the fluorescence microscopy applications in human pathology.[2,4,32,33] At the end of the mid-20th century, particular attention was given to the coenzymes NAD(P)H and flavins, and to the monitoring of their redox equilibria in isolated mitochondria, single cultured cells and intact tissues under different metabolic conditions. These pioneering investigations by Britton Chance and his coworkers divided the period of sporadic AF observations on various kinds of biological substrates from the new way of systematic AF investigation in biomedicine, focused on specific targets and functions. The development of instruments such as the first microspectrofluorometers and flow cytofluorometers made these first studies possible, and the progresses in AF investigations were accompanied by the continuous advancement in the instrumental equipment and analytical procedures, allowing to transfer the results of experimental studies to the clinical application.[34-42] In general, NAD(P)H and flavins are the almost unique responsible for the AF signal rising from the cell cytoplasm:[43] this allows to perform investigations on cell redox metabolism without the need of supplementary analyses to distinguish them from other fluorophores. Figure 1 shows examples of AF distribution patterns in living cultured cells under different biological conditions.[44]
Figure 1.

Examples of autofluorescence distribution patterns recorded from cultured, living pig cells. The emission signal rising from the cytoplasm around darker nuclei is mainly ascribable to NAD(P)H, the contribution of globular proteins being almost negligible under the conditions used for detection (exc 366 nm; em 420-600 nm). The signal is more diffusely distributed in stem cells (a) than in a mature one (b), where structures ascribable to the typical morphology of mitochondria can be easily recognized. These findings are consistent with a prevalent engagement in anaerobic energetic metabolism in stem cells, and in aerobic – mitochondrial – one in the mature one. Intracytoplasmic brightly fluorescing granules (c,d) are ascribable to lipofuscins, accumulated as undigested material from autophagic processes contributing to the maintenance of the stemness homeostasis or in cell eldering. Scale bar. 20 μm.

The continuously increasing interest in investigating tissues rather than single cells was accompanied by a progressive attention to additional fluorophores which may be found depending on the morpho-functional properties of the target substrates. The endogenous fluorophores mainly recurrent in biomedical AF-based studies are summarized in Table 1, and their representative spectral profiles are shown in Figure 2. The AF studies were thereafter focused on two main topics: i) monitoring of metabolic functions of cells and tissues under normal and experimental conditions, ii) in situ, real-time diagnosis of oncological and non-oncological diseases. Actually, the boundary between these two subjects of investigation cannot be clearly drawn, since a different extent of early and subtle metabolic changes as well as structural alterations of cells and tissues are likely to occur, as the first signs of disorders, degenerating diseases or neoplasia.[45-47] Therefore, the ability of AF analysis to detect primary changes in cell and tissue morphofunctional properties is a promising potential for diagnostic applications. In this concern, AF analysis of cells and tissue properties fully belongs to Optical biopsy,[15,48] its applications being developed to address and support different diagnostic procedures in biomedicine.
Table 1.

Endogenous fluorophores recurrently exploited as intrinsic biomarkers in autofluorescence studies.

Endogenous fluorophoresBiological constituentsAutofluorescence (exc) / (em) rangesAutofluorescence photophysical fingerprints and possible correlated alterations
Aromatic amino acids: Phe, Tyr, TrpFunctional proteins(240-280 nm) / (280-350 nm)Spectral shape and amplitude (near UV, blue region tail)
CytokeratinsIntracellular fibrous proteins(280-325 nm) / (495-525 nm)Spectral shape and emission amplitude
Collagen/ElastinExtracellular fibrous proteins(330-340 nm) / (400-410 nm) (350-420 nm) / (420-510 nm)Excitation light birifrangence effects spectral shape and emission amplitude, depending on maturation degree in eldering and fibrosis
NAD(P)HCoenzymes of key enzymes in redox reactions(330-380 nm) / (440, 462 nm, bound, free)Spectral shape, emission amplitude
FlavinsCoenzymes of key enzymes in redox reactions(350-370;440-450 nm) / (480/540 nm)(NAD(P)Hbound/free, NAD(P)Htotal/oxidized flavins ratios, depending on aerobic/anaerobic energetic metabolism, antioxidant defense, inflammation, carcinogenesis
Fatty acidsAccumulated lipids(330-350 nm) / (470-480 nm)Spectral shape, emission amplitude and photosensitivity, depending on altered lipid metabolism
Vitamin ARetinols and carotenoids(370-380 nm) / (490-510 nm)Spectral shape, emission amplitude and photosensitivity, depending on multiple functions including antioxidant and vision roles, and altered retinol metabolism
Protoporpyrin IX and porphyrin derivativesProtein prostetic group(405 nm) / (630-700 nm)Spectral shape, emission amplitude and photosensitivity, depending on heme and iron altered metabolism
Lipofuscins/Lipofuscin like-lipopigments/ceroidsMiscellaneous (proteins, lipids, retinoids)(UV, 400-500 nm) / (480-700 nm)Spectral shape, emission amplitude depending on eldering, oxidation degree, cell stemness degree
Figure 2.

Typical spectral profiles of autofluorescence emission from single endogenous fluorophores. Spectra were recorded by microspectrofluorometry from pure compounds in solution, except for the fibrous proteins collagen and elastin and lipopigments, recorded respectively from connective tissue of hepatic portal selected areas of a liver cryostatic tissue section, or from remnant material collected after organic extraction of liver tissue homogenates. Spectra were normalized to the maximum emission peak for presentation, except for the broad emission of lipopigments. Excitation light: 366 nm.

Technologies and data processing

The advances in excitation sources, detection devices (including fiber optic probes for both excitation and AF light guide),[49] and data analysis procedures promoted great progresses in the applications of Optical biopsy on tissue sites which can be either directly or endoscopically accessed, as recently reviewed by Alfano and Pu.[15] The improvement in techniques and devices used for AF signal collection and analysis (such as spectroscopy, microspectroscopy and imaging) is continuously growing to improve the sensitivity and specificity in the detection of different fluorophores in single cells and tissues. As to the in situ imaging of endogenous fluorophores, the first applications of multiphoton microscopy allowing sub-micron resolution were followed by continuous progresses in the optical techniques to investigate the cell metabolism through the microscope.[50,51] A careful choice of the Near InfraRed (NIR) excitation wavelength and power was however recommended, to preserve the reliability of the results obtained for living cells minimizing photobleaching and damages, and the undesired occurrence of photoinduced fluorescent granules containing lipofuscins.[52,53] For example, suitable NIR measuring conditions resulted in an efficient, non-invasive detection of NAD(P)H and flavins in ratiometric redox fluorometry to assess in situ mitochondrial metabolic states.[54] The two coenzymes NAD(P)H and flavins, along with lipofuscins and the second armonic generation from collagen fibers were also exploited as intracellular and extracellular exclusive sources of imaging contrast to monitor the differentiation of human mesenchymal stem cells in culture.[55] In addition to the steady-state techniques, time-resolved AF contributed to improve the study of the respiratory chain functions as well as of different metabolic activities in cells and tissues under normal and altered conditions. These applications took advantage of the different fluorescence lifetimes characterizing the signal decay of NAD(P)H in its free and bound state, and of flavins, being respectively of about 0.4-0.5 ns, 2.0-2.5 ns and 6 ns.[56-58] In this relationship, technical set-ups for direct lifetime detection and monitoring of tissue AF were proposed, aiming to improve routine biomedical and bio-analytical online analyses.[59] Recently, a phasor approach has also been developed allowing an easier fluorescence lifetime data processing and interpretation, through a non-invasive, label-free, fit-free lifetime imaging microscopy technique, escaping the problems of exponential analysis to assess the presence of multiple fluorescing species. A graphical global view is given as an image, each pixel contributing as a point to the plot. The position of each point identifies a specific fluorophore depending on its typical decay properties, and a picture is provided allowing an overall and direct interpretation of data in terms of the fluorophores presented.[60] As to the processing and diagnostic interpretation of AF data in single cells, the mere measurement of the overall emission signals allowed to detect and isolate granulocytes and in particular eosinophils by means of flow cytometric or more generally of microfluidic systems, the analysis of the spectral shape detected under different excitation conditions even leading to a complete discrimination of the leukocyte families.[61-64] A multispectral imaging AF microscopy technique, based on the simple collection of monochrome images in the blue, green and red regions under 365 nm excitation, was also demonstrated to distinguish between non-neoplastic and malignant lymphoid tissues.[65] In bulk tissues, complex multivariate analysis procedures were proposed to process overall emission data, and assess their potential for a specific and sensitive discrimination of normal from diseased areas.[66-69] Nearly in the meantime, a device was developed, based on a high sensitivity camera to be applied at endoscopy to collect AF signals in the green and red regions, and to manage them in a ratio imaging by a processing unit to display then a color image.[70] The validity of this apparatus as a support for the detection of lung and colon neoplasia resulted in the development of commercial devices, currently used in the clinics for pre-screening and diagnostic purposes through endoscopy. The first-generation Xillix® Laser-Induced Fluorescence Endoscopy (LIFE) (Xillix Technologies Corporation, Richmond, BC, Canada) received an FDA-PMA approval in USA in 1996, and the European CE Mark in 1997. A Xillix’s next device, Onco-LIFE, incorporating fluorescence and white-light endoscopy was then developed for an improved guide in the localization of lung and gastrointestinal cancers. The differences observed in AF emission between neoplastic and non-neoplastic regions were correctly foreseen to be ascribable to multiple alterations, in tissue metabolism, presence of porphyrins, blood circulation and histological architecture. Actually, progresses in the knowledge on the nature of single endogenous fluorophores present, their AF properties and their changes depending on both tissue structure and biological alteration, confirmed the suggestions of Takehana,[70] helping the progression of optical techniques for diagnostic applications.[11] The role of tissue optical properties, in terms of absorption, reflection and scatter were also considered, as factors influencing the propagation of both excitation light and the resulting fluorescence within bulk tissues, thus affecting the overall signal collected at the tissue surface. Monte Carlo simulation models were therefore developed, with particular reference to the neoplastic lesions in multilayered epithelia, to investigate and validate the dependence of the overall AF signal collected at the tissue surface on the contribution of the typical spectra of their biological components, their histological arrangement, localization depth and optical properties.[71-76] In the colon, for example, the structural alteration induced by the rising of the tumor mass affecting the presence and localization depth of sub-mucosa was demonstrated as the main responsible for the marked decrease of the whole AF signal in neoplastic with respect to non-neoplastic tissue (Figure 3).[77-79] These findings are explained considering the essential role played by submucosa, the tissue layer with a strong fluorescence emission because of the presence of collagen, and its involvement in AF excitation/emission depending on its localization depth: submucosa AF signal accounts for a great part of the whole AF emission detected at the tissue surface in normal mucosa, while it disappears following the submucosa derangement and loss induced by the rising of neoplasia. Monte Carlo simulation modeling procedures were also applied in non-epithelial tissues, as in the case of AF imaging of NADH and flavoproteins to map brain activity in cortical areas.[80]
Figure 3.

Unfixed cryostatic tissue sections from human colon, non-neoplastic mucosa (a) and adenocarcinoma at different staging (b,c), after Hematoxylin and Eosin staining. Non-neoplastic tissue (a) shows the layer organization: mucosa (m) at the inner surface, muscolaris mucosa (mm), submucosa (sm) with blood vessels and muscolaris esterna (me). The histological organization of non-neoplastic mucosa is subversed by the rising of the neoplasia. The highly fluorescing connective tissue in submucosa (d, and AF signal plot profile inside) is strongly affected, only some remnants being appreciable in the neoplastic mass (e). Excitation: 366 nm, emission: 420-640 nm. Scale bars: a-c), 650 µm; d), 100 µm; e), 170 µm.

Considering the differences in the spectral profiles of the endogenous fluorophores relevant for each kind of tissue, spectroscopy, spectrofluorometry and microspectrofluorometry provided a powerful support to imaging investigations.[81] In this view, following the assessment of typical excitation-emission spectra of single endogenous fluorophores, excitation-emission matrices were defined, in the attempt to better select the measurement conditions and improve data interpretation in tissue spectroscopy.[82] Analytical procedures such as spectral curve fitting or differential imaging were developed to detect the nature and estimate the relative amount of the fluorophores contributing to the whole AF emission of a cell or a tissue. An essential condition for the application of these procedures is obviously the definition of the spectral parameters for each single fluorophore considered in the biological substrate under investigation. Spectral fitting analysis is thus based on the use of functions representing typical emission profiles, as represented in Figure 4.[83,84] It is worthwhile reminding that in the steady-state analysis of AF, the ability of the near-UV excitation to excite simultaneously the great part of endogenous fluorophores can be an acceptable compromise between a relatively simple and cost effective instrumentation for both spectroscopy and imaging studies, and the advantage to collect comprehensive data on the different fluorophores in the substrate under investigation. The data collection from a single measuring set can minimize or avoid the artifacts which may likely derive from photobleacing in sequential measurements of the same area when changing excitation/emission conditions, or from the sampling variability among different measured sites when investigating metabolic equilibria. This could be the case of NAD(P)H and flavins when studying energetic metabolism,[34-44,53-56,80,84] or metabolism of biomolecules involved in altered lipid turnover and oxidative stress in fatty livers.[85-87]
Figure 4.

Example of fitting analysis of an autofluorescence spectrum collected via fiber optic probe from a rat liver under living conditions. Real measured spectrum and calculated curve as the sum of the endogenous fluorophore contributions are shown, along with spectral functions representing each endogenous fluorophore. Before analysis, spectra are normalized to 100% at the peak maximum. Curve-fitting procedure is then performed to evaluate the relative contributions of each fluorophore to the overall emission. The procedure consists in an iterative non-linear analysis, based on the Marquardt–Levenberg algorithm through the finding of the true absolute minimum value of the sum of squared deviations of a combination of GMG (half-Gaussian Modified Gaussian) spectral functions, each of them representing the emission profile of a pure fluorophore. The goodness of fitting is verified trough the residual analysis and r[2] coefficient of determination, ≥0.898 in this case. Fitting parameters are reported as peak center wavelength (λ) / full width at half intensity maximum (FWHM): NAD(P)H free, 463 nm / 115 nm; NAD(P)H bound, 444 nm / 105 nm; vitamin A, 488 nm /102 nm; fatty acids, 470 nm / 90 nm; flavins, 526 nm / 81 nm. Due to parameter variability because of heterogeneity in composition and fluorescing properties, the functions of lipopigments and proteins are left free to adjust, respectively in the 530-600 nm range, and at λ <440 nm, to reach the goodness of fitting analysis results. Excitation: 366 nm.

NAD(P)H, flavins and energetic metabolism

Starting from the already reminded pioneering works by Britton Chance,[34-39] NAD(P)H and flavins are up to now the most extensively investigated endogenous fluorophores, finding unceasing applications in biomedical research and clinics as dynamic biomarkers of energetic metabolism in single cells and in the monitoring of organ vitality and function. The properties of NAD(P)H and flavins are briefly reminded, considering their great role in AF based Optical biopsy. The NAD(P)H is fluorescent in the reduced state and flavins in the oxidized state, the AF emission properties being strictly dependent on the bound/free condition.[88-90] These coenzymes are the main responsible for the AF rising from cell cytoplasm, their amount, and redox, bound-free state being in close relationship with their engagement in energetic metabolism, cell oxidative defense, reductive biosynthesis, and signal transduction.[37,38,89,91-94] The flavin free derivatives, flavin mononucleotide (FMN) and flavin-adenin dinucleotide (FAD), exhibit very similar excitation/emission properties in aqueous solution (pH 7), their absorption/excitation and emission maxima being respectively at about 440-450 nm and 525 nm.[95,96] The fluorescence emission from FAD, in turn, was reported to be strongly affected by the nature of the protein to which the prosthetic group is bound. Studies on isolated mitochondria indicated that, as to the flavoproteins engaged in energetic metabolism, α-lipoamide dehydrogenase (FP5) and electron transfer flavoprotein were the major responsible for the flavoprotein fluorescence signal in the cell, contributing respectively for about 50% and 25% of the total flavin signal. The remaining part was ascribed to the not better defined, dithionite reducible flavoproteins. The emission of FP5 was found to occur in the 510-550 nm region, while that of FP3 showed a maximum at about 480 nm.[90,91] The fluorescence properties of NAD(P)H depend on the nicotinamide group, absorbing at about 365 nm and fluorescing in the 420-490 nm region. The AF spectral shape does not show appreciable differences between the two derivatives NADH and NADPH, in general the binding to enzyme molecules resulting in a blue shift, an increase in the quantum yield efficiency (the ratio between free and bound forms being of about 0.33), and a lengthening of the fluorescence decay time.[40,56,88,89] While NADPH is engaged as an electron donor for reductive biosynthesis and antioxidant defense, NADH is mainly involved in reactions leading to energy production. Glycolysis and the citric acid Kreb’s cycle, taking place respectively in the cytoplasm or in the mitochondrial matrix, produce the reduced form of NADH, while NADH reoxidation occurs mainly through oxidative phosphorylation, resulting in ATP and heat production. The NADH inside mitochondria cannot diffuse across their membrane, the transport of the reducing equivalents from the cytosol to mitochondria being carried out by shuttle systems, ensuring an equilibrium between cytoplasm and mitochondria. Transhydrogenases, in turn, are enzymes able to transfer electrons from NAD(P)H to NAD(P)+ in a reversible reaction, contributing to the cell resources to maintain redox homeostasis. A simplified representation of the several interrelated metabolic pathways involving changes in the redox state of NAD(P)H and flavins is shown in Figure 5. Such complex situation can explain apparently conflicting results on the ability to induced changes in the redox state of NAD(P)H and flavins by drugs acting on mitochondria. For instance, blocking the respiratory chain by means of potassium cyanide is expected to produce an increase in the NAD(P)H fluorescence intensity and, conversely, a decrease in flavin emission. Yet, evidences inconsistent with this assumption were reported,[41] leading to define bistable the reciprocal changes in the NAD(P)H and flavin reciprocal redox state, in dependence of the metabolic steady state of the cells undergoing metabolic alterations.[89,97] Despite this complexity, these coenzymes were successfully used as intrinsic biomarkers of cell energetic metabolism, consistently with the proposal of Huang,[54] to represent the redox – fluorescent state of the cells by means of a very simplified equation: where FP5 belongs to the dehydrogenase multienzyme complex catalyzing the electron transfer from pyruvate to NAD+, as a point of electron entry in the respiratory chain. In addition to the huge amount of studies in single cells, NAD(P)H and flavins were investigated as dynamic biomarker of energetic metabolism in tissues and organs.
Figure 5.

Simplified scheme of the main metabolic pathways affecting the redox state of NAD(P)H and flavins, the coenzymes participating to the reactions as reductive equivalent donor /acceptors. The star frames indicate the fluorescing reduced form of NAD(P)H and oxidized form of flavins.

Studies on pancreas, demonstrated the AF suitability to monitor the response to anoxia in the assessment of progressive damage after pancreatitis or transplantation.[98] The particular metabolic engagement of pancreatic islet cells and their implications in the development of diabetes inspired NAD(P)H and flavin based AF studies aimed both at improving knowledge on functional mechanisms and at facilitating the flow cytometric sorting and enrichment of pure beta cell populations for transplantation.[99-101] More generally, several experimental studies on different organs such as heart, kidney and liver were stimulated in order both to attain an effective real-time functional monitoring and to support investigations on strategies aimed at assessing and facing possible injuries from ischemic conditions during surgery or transplantation.[102-107] An in vivo multiparametric assessment of tissue and organ dysfunctions under pathological states was also proposed, based on the measurement of whole NAD(P)H AF emission, together with oxyhemoglobin (Hb-O2) and blood hemodynamics.[42] In addition, it is to remind that the spectrofluorometric, real-time monitoring of the tissue redox state allowed to detect and explain transient events, such as a temporary NAD(P)H oxidation accompanied by an increase in the NAD(P)Hbound/free ratio observed soon after the induction of liver ischemia. This phenomenon, opposite to an expected increase in the NAD(P)H reduced state after the block of its reoxidation through the respiratory chain in the absence of oxygen, was explained with a physiological compensatory vasodilatation attempt of liver microvasculature to respond to ischemia.[108] Recently, the in vivo analysis of AF in a rat liver model of lipid accumulation made it possible to assess the maintenance of energetic metabolism homeostasis under oxidative stress. This effort was not detectable ex vivo, while the combined AF and biochemical analysis of tissue samples confirmed the expected alteration in mitochondrial activity.[87] These findings further confirmed that changes in biological conditions can affect the cell engagement in aerobic and anaerobic energetic metabolism. In this respect, an example is given by recent AF-based studies on the metabolic plasticity of stem cells. This phenomenon entails the metabolic signatures of the stemness status, consisting in the switch from anaerobic to aerobic respiration during differentiation, the opposite occurring during the reprogramming of somatic cells to pluripotency.[109] The consequent changes in AF emission at to both signal amplitude and spectral shape are mainly ascribable to alterations in the relative presence of bound and free NAD(P)H, as demonstrated by numerous works performed using different optical systems on single cultured cell and living tissues.[44,55,110-113] The usefulness of AF for a comprehensive analysis in the assessment of the actual stem cell differentiation degree has been thus proved, the exclusive advantage to avoid undesired stimuli from exogenous-markers being of particular value when the very delicate metabolic equilibria of stem cells are investigated for regenerative medicine and zootechnology applications. Apart from these recent studies, a prevalence of anaerobic on the aerobic energetic metabolism is known since a long time to characterize tumor cells, as early remarked by Warburg in 1956.[114] This condition, likely favoring survival and invasiveness of tumor cells, results in general in low values in the NAD(P)Hbound/free ratio in neoplastic cells with respect to the non-neoplastic ones. These AF results have been justified by a favored pentose-phosphate pathway, reflecting a possible impairment of mitochondrial respiratory activity and involving fewer steps of interaction between the pyridinic coenzymes and enzymes as compared to the aerobic metabolism.[89,115-118] This suggestion confirmed the strict relationship between the AF properties of cells and their actual metabolic engagement, consistently with the finding that the NAD(P) Hbound/free ratio may vary among cancerous cell lines, while remaining constant in a cell line under standard metabolic conditions.[119] In solid tumors, the cell switch from the aerobic to the anaerobic energetic metabolism can contribute at a different extent to the whole AF signal alteration, depending on the tissue considered. In general, the effects of energetic metabolism are of minor diagnostic importance than tissue architecture in multilayered epithelia. In fact, as already described above, the growing of the neoplastic mass affects the integrity and localization depth of the highly fluorescing submucosa, resulting in a marked decrease of its contribution to the whole AF signal collected at the tissue surface.[66,70,71,74,75,77-79] On the other hand, in the central nervous system the subversion of the energetic metabolism was demonstrated to contribute to the discrimination between brain tumor mass (in glioblastoma) and the non-neoplastic surrounding tissue.[120,121] A role of the metabolic engagement was demonstrated by data from tissue sections, showing an alteration in the NAD(P)Hbound/free ratio accounting for both the decrease in amplitude emission and the red shift of AF spectra in the tumor with respect to the normal tissue. In vivo measurements performed via fiber optic probe during surgery, in turn, showed much higher differences between the neoplastic and non-neoplastic tissue (Figure 6). These findings indicated also a role of the tissue optical properties, since changes in blood supply and in architectural organization, leading to a markedly increased cellularity in the tumor mass, can alter absorption, reflectance and the scatter phenomena, influencing the migration of light, and the yield of excitation and fluorescence collection from different tissue depths.[9, 122] The dependence of AF signals on both structural and physiological properties of brain areas, and their sensitivity to hemodynamic changes induced by sensory activation were further demonstrated by imaging studies of NADH and flavoproteins.[80]
Figure 6.

Unfixed cryostatic brain tissue sections from a glioblastoma bearing patient. a) Hematoxylin and Eosin staining evidences an altered stainability and cell density in neoplastic (glioblastoma, gbl) tissue as compared to the surrounding non-neoplastic tissue (nnt). b) Autofluorescence imaging of a serial, unstained tissue section, shows a lower emission signal in neoplastic as compared to the non-neoplastic area; a quantitative representation of this difference is given by the amplitude distribution profile of the selected area indicated by the frame overimposed to the picture. Excitation: 366 nm; emission: 420-640 nm; scale bars: 200 µm. c) Spectrofluorometry performed in vivo, via fiber optic probe during surgical operation showed an even more marked lower autofluorescence amplitude, and spectral profile changes in neoplastic tissue in comparison with the non-neoplastic tissues (white matter and cortex); spectra are shown as real values.

More generally, the importance of the cell metabolic engagement combined with tissue organization and cellularity was supported by different cases, concerning for example leukocytes becoming resident and accumulating in tissues with inflammation, or lymph node alterations in lymphoproliferative disorders affecting AF signals;[65] similarly, it was possible to discriminate neoplastic degeneration or to detect in situ heart allograft rejection.[123,124]

Lipofuscins and lipofuscin-like fluorophores in aging, oxidative damage, and more

In addition to the diffuse fluorescence of NAD(P)H and flavins, brightly emitting particles ascribable to lipofuscin or lipofuscin-like lipopigments can be occasionally observed in the cell cytoplasm. Lipofuscin fluorescence covers the yellow-reddish region, the spectral shape and emission amplitude being dependent on the variability in composition (proteins, lipids, carotenoids), crosslinks and oxidation degree of these heterogeneous compounds, and ageing.[125] In general, lipofuscins consist in undigested material remaining from phagocytosis and autophagy processes, accumulating as intracytoplasmic granules depending on physiological cell metabolic engagement, and the occurrence of disorders and pathologies.[115,126-130] The physiological intracellular accumulation of lipofuscins in ageing is commonly reported in the liver (see below), or in central nervous system. In the latter case, an anomalous increase in the presence of lipofuscins or lipofuscin-like lipopigments or ceroids has been detected as a consequence of oxidative stress, as a response to pathological conditions (i.e., the neuronal ceroid lipofuscinosis or Batten disease), or to toxic compounds.[131-133] In this concern, the alteration of the postnatal development of the multilayered rat cerebellar cortex induced by cisplatin administration resulted in an increase in the lipofuscin emission signal and alterations in NAD(P)H and flavin contributions.[132] Actually, cerebellum during development is known to be particularly vulnerable to toxic compounds and radiation, and these findings in response to the cisplatin oxidative damage confirmed that AF-based studies are especially appropriate to investigate the oxidative effects of chemical and physical agent.[134] The presence of lipofuscins is inversely correlated with the differentiation degree in stem cells.[44,55,113] This phenomenon has been ascribed to autophagic processes actively engaged in the removal and oxidation of undesired subcellular structures, with particular reference to mitochondria. Regulating the number of mitochondria would preserve the prevailing anaerobic energetic metabolism of stem cells, thus contributing to the stemness maintenance.[135] The accumulation of lipofuscin in stem cells should therefore be ascribable to the action of reactive oxygen species on autophagocytosed mitochondria, rather than to the physiological ageing processes. A particular case of brightly fluorescing intracellular granules in eosinophils was reported by Grossi and Zaccheo[136] already in 1962. This AF emission was later ascribed at least in part to FAD, and found to undergo a further increase in amplitude and shift from the blue to the yellow region when the circulating cells become resident in the tissues.[61,137,138] The relatively high AF emission of eosinophils was more recently exploited to isolate the much less fluorescent neutrophils by flow cytometric cell sorting, to generate a nearly pure quiescent cell population in an antibody-free environment, an essential condition for subsequent activation studies.[139] Another particular case of remarkable intracellular AF emitting granules concerned the pigment cell components in the liver of some amphibians, likely involving melanin in addition to lipofuscin-like products. Alterations in both emission amplitude and spectral profile reflected variations in the composition of these pigment constituents in relation with summer activity and winter hibernation cycles, suggesting an engagement to compensate changes in oxidative conditions depending on the seasonal liver plasticity.[140,141] A strong yellow fluorescence rising after UV irradiation was also demonstrated to be induced by peroxidation of melanins naturally present in different tissues, improving the possibility to distinguish them from lipopigments,[142] while studies on synthetic melanins demonstrated that the emission signal depends on modifications in the composition and polymerization degree of indolic components.[143] These findings opened wide-ranging perspectives for a further development of optic-based diagnostic clinical applications, for example in clinical dermatology as well as in the environment monitoring through sentinel wild animals. Finally, the importance of lipofuscins and retinoid derivatives accumulating in retinalpigment-epithelial (RPE) cells as residues of undigested outer segments of photoreceptors is here only reminded, as compared with the huge amount of work carried on about their AF characterization as to etiology, diagnosis and monitoring of retinal diseases.[144-146]

Porphyrins and heme metabolism alteration

In general, the emission spectra from the above described fluorophores cover the whole visible range, the contributions in the red region consisting in the low, longer wavelength tails of the emission spectra. However, distinct and well defined emission bands beyond 600 nm can be detected, that can be ascribed to porphyrins and their derivatives.[14]7 The porphyrin chemical structure is based on a tetrapyrrolic ring, the most frequently naturally recurrent protoporphyrin IX (PpIX) being the ultimate precursor before iron insertion along the biosynthesis pathways of the heme group. This latter is an ubiquitous molecule, involved as a prosthetic group in proteins and enzymes providing to functions ranging from transport of oxygen to catalysis and pigmentation. Heme group is produced following a series of reactions, and can induce a feedback-inhibition of the key enzymes involved: ᵟ-aminolevulinate synthase, ᵟ-aminolevulinate dehydrase and ferrochelatase. The red emission from iron-free, heme-based compounds was among the early reported observations of natural fluorescence.[2] In 1924, the occurrence of red fluorescence under ultraviolet light illumination was described in an experimental rat sarcoma and correctly attributed to the presence of endogenous porphyrins.[27] In 1929 the detection of porphyrin fluorescence spectra in the tissues from a patient who died for congenital porphyria was one of the first examples of AF microspectrofluorometric assay.[30] It cannot be neglected that the current PDD and PDT procedures were initiated by these observations, followed by the early experiences on the first hematoporphyrin derivatives, obtained from the blood as iron free products to be administered as exogenous compounds.[148] These derivatives showed a preferential accumulation in tumor tissues, where they were able to activate photosensitizing phenomena under suitable light irradiation.[149-151] Following the first indications by Samuel Schwartz on the heterogeneous composition of porphyrin derivatives, mixtures enriched in their aggregated species which are mostly responsible for the selective localization in target tissues (e.g., Photofrin) or specific chlorine derivatives (e.g., Foscan and Verteroporphyrin) were produced to improve PDD and PDT efficacy, resulting in preparations approved for the clinical use.[31,147,152-156] The complex chemical composition of porphyrin preparations make their use in PDD and PDT difficult; in addition, porphyrins proved to be less selective than expected for tumor cells, while exhibiting low tissue depth photoactivation and inducing prolonged skin photosensitivity. As a consequence, several other photosensitizing molecules were proposed. Few of them, however, received market approval, while successful parallel research demonstrated the usefulness of ᵟ-aminolevulinic acid (ALA) or its chemically modified derivatives, as pro-drug precursors of PpIX.[156-159] Although a contribution from bacteria could not be completely excluded, an increase in porphobilinogen deaminase and a decrease of ferrochelatase activities participating to heme synthesis in tumor cells explained the selective accumulation of PpIX in the neoplastic mass following the administration of ALA precursors.[160] The same enzymes are likely responsible for the systemic accumulation of endogenous porphyrins in the absence of prodrug administration in subjects bearing tumors or metabolic disorders. While the increased presence of porphyrins in tumor tissue contributes to the above mentioned imaging ratio analysis for in situ detection of tumors,[70] the increase of PpIX in the blood has been proposed to support the differential diagnosis of hidden tumors or altered metabolism.[161-165] In this respect, AF imaging and microspectrofluorometric studies on a MMTV-neu (erbB-2) female C1 mouse, model of spontaneously growing mammary tumor,[166] showed a systemic marked increase of PpIX and porphyrin derivatives along with their rising in the neoplasia, in particular in the necrotic mass, (Figure 7).[167-169] The rising in PpIX fluorescence in the serum, however, could not be completely explained by a reversed activity of ferrochelatase removing iron from heme in death tissue,[168] and by the blood porphyrin drainage from the tumor. In fact, the iron scarcity and porphyrin increase observed in particular in the spleen (the organ normally engaged in heme catabolism and iron recycling) supported the role of a systemic subversion of metabolism in tumor bearing subjects induced by the presence of tumor cells requiring this element to face their metabolic requirements.[169,170]
Figure 7.

Unfixed cryostatic tissue section from a mouse mammary tumor. Autofluorescence image collected at t = 0 s of excitation-light irradiation from (a), and the distribution pattern of the signal lost (b), detected through the differential analysis of images recorded from the same tissue area at t = 0 s and t= 10 s of continuous irradiation; excitation: 330-385 nm; emission <420 nm. The lost signal representing the most photolabile fluorescing species occurring in this tissue is ascribable to porphyrins. The presence of PpIX, in particular, is confirmed by the spectra recorded under 405 nm excitation from the same tissue area, showing its typical emission bands centered at ≈ 630 nm and 700 nm. The band at about 670 nm is ascribable to pheophorbide or porphyrin oxidative products. The PpIX band amplitude is consistent with the low diffused signal in the vital mass and the much higher emission in necrosis, identified when the measured area has been retrieved after conventional Hematoxylin and Eosin staining (c), for a direct comparison with autofluorescence distribution in tumor living cell mass (vm) and necrosis (n). Scale bar: 100 µm.

Miscellanea of endogenous fluorophores in liver disorders, and more

In mammalian livers, lipofuscins resulting from the ageing processes are of no real pathological importance, while already at the beginning of the 1940’s a ceroid material with fluorescence properties was observed to accumulate in experimental cirrhotic rat livers, and ascribed to degradation products of unsaturated fatty acids.[2,171,172] The nature of the lipofuscin-like lipopigments as peroxidized products of lipids and other intracellular macromolecules was supported by later investigations, even leading to their proposal as AF biomarkers of oxidative damages induced in livers with lipid accumulation and oxidative stress.[87,127,173,174] Actually, an increasing number of endogenous fluorophores has been considered for comprehensive AF based diagnostic applications in hepatology, depending on the complex biochemical composition characterizing the liver tissue due to its engagement in several metabolic and detoxificating functions.[84-87,175] In addition to NAD(P)H, flavins and lipofuscins, the overall liver tissue AF emission can originate from proteins, vitamin A and fatty acids likely playing a role as interconnected autofluorescent biomarkers of liver disorders. Under normal conditions, vitamin A accumulates mainly in stellate cells, the protein emission rising mainly from cytoskeletal and fibrous components, namely cytokeratins and collagen. This latter, in particular, is present in connective septa, i.e. the portal space, and in the delicate connective matrix of perisinusoidal reticular fibers.[23] The collagen AF contribution increases when stellate cells are activated by inflammation messages, becoming fibrogenic and losing their role as vitamin A deposits during development of liver fibrosis,[46] the emission amplitude and spectral shape being strongly dependent on the type, network density and ageing of this extracellular protein.[176,177] The ability of AF analysis to detect such alterations in tissue organization was demonstrated by means of different approaches, such as multiphoton analysis and intravital microscopy in rodent models of developing cirrhosis or toxininduced fibrosis,[178,179] and the role of collagen as early autofluorescent biomarker of developing fibrosis was further supported by ex vivo AF characterization of human liver specimens.[180] Vitamin A was also proposed as an autofluorescent biomarker directly related to the content of lipids within hepatocytes; this was consistent with previous findings of a direct relationship between the changes in the amount and distribution of the vitamin A emission signal and lipids, as demonstrated by in situ Nile red fluorochromization performed on the same tissue section after AF analysis.[175,180] The indications on the presence of vitamin A and fatty acids were obtained exploiting the different sensitivity to the light irradiation exhibited by the various endogenous fluorophores. Actually, photolability can be a further parameter improving the reliability of the information provided by both imaging and spectrofluorometry. In the normal liver parenchyma, continuous irradiation results in the decrease of the blue emission from the cytoplasm of hepatocytes, mainly due to the photobleacing of NAD(P)H, their anastomozing plates being bordered by a more photoresistant bright network ascribable to reticular fibers. In fatty livers the strong photolability of vitamin A and fluorescing fatty acids helped to demonstrate their localization in lipid vesicles, highlighted by means of differential imaging and microspectrofluorometric analysis, similarly to the procedure already described for porphyrins (Figures 8 and 9).
Figure 8.

Normal (a,b) and fatty (c,d) liver from rat models. Autofluorescence images collected at t = 0 s of excitation light irradiation from unfixed, unstained cryostatic tissue sections (a,c), and topographical distribution of the whole signal lost (b,d), obtained through the differential analysis of images recorded from the same tissue area at t = 0 s and t= 10 s of continuous irradiation. In the normal liver a signal loss occurs mainly along sinusoids, likely involving vitamin A accumulated in Ito cells. Fatty liver shows marked signal decrease within vesicular structures likely corresponding to lipid droplets, while the bright light blue fluorescing connective component (*) observed at t = 0 s of irradiation undergoes a much lesser decrease. Image levels are adjusted to optimize image observation. Excitation: 366 nm. Scale bars: a), 80 µm; c), 100 µm.

Figure 9.

Autofluorescence emission spectra recorded at t = 0 and at t = 10 s of irradiation from unfixed, unstained cryostatic sections of rat livers: connective tissue of a portal area (a) and lipofuscin granules (b) from a normal liver parenchima, and lipid droplet (c) from a fatty liver. The changes induced in the whole emission profile by light irradiation are evidenced by the measured spectra normalized to the peak maximum. The response to irradiation in terms of spectral shape and amplitude changes in the AF emission from collagen, lipofuscin-like lipopigments and vitamin A/fluorescing lipids is represented by the curves of each single fluorophore spectral function. Excitation: 366 nm.

Autofluorescence properties can be exhibited also by some lipid compounds, depending on their molecular properties. Up to now, few indications have been provided on AF emission properties and high photolability of some fatty acids such as arachidonic, linoleic and stearic acid, while other derivatives such as butirric and palmitic acid, triglycerids and phospholipids are in general poorly fluorescent.[84,86,87,175] This apparent limitation in the AF detection of lipids, however, may give indications on induced alterations in the fluorescent fatty acid pool. In fact, despite the complex liver lipidic composition and its dependence on several metabolic pathways, a rising in fluorescing fatty acids was indicated by spectral fitting analysis of AF signals recorded from livers submitted to experimental warm ischemia. The phenomenon was suggested to reflect an altered balance of acylation and deacylation rates, rather than of fatty acid β-oxidation, the ultimate steps of this energy production pathway requiring oxygen.[86,181,182] As to diagnostic potential of AF in hepatology, promising advancements concern also bile composition and its dependence on liver functionality. Bilirubin is excreted in the bile as the breakdown product of systemic and intrahepatic heme degradation. Bile optical properties were first mainly investigated to set-up assays for its evaluation in the blood, with the aim to improve diagnostic and therapeutic procedures to face hyperbilirubinemia.[183-185] More recently the bichromophore nature of bilirubin has been found to influence its AF amplitude and spectral profile, characterized by two main emission bands centered at about 517-523 nm and 570 nm. The phenomenon is due to an intramolecular energy transfer consequent to an exciton splitting phenomenon between the two chromophore groups composing the bilirubin molecule, consisting in two non-completely symmetric moieties each of them containing two pyrrole rings. The alterations in the molecule conformation depending on microenvironment will thus affect the yield of bilirubin intramolecular energy transfer, reflected by different extents of changes in its emission properties. The phenomenon, particularly favored by the near-UV excitation, is thus making bilirubin along with other bile components (proteins and biliary acids, fluorescing in the blue region) to act as sensitive intrinsic biomarkers of bile composition, and consequently of liver function.[85,86] Being aware of the extensive applications based on several endogenous fluorophores as intrinsic diagnostic biomarkers in biomedicine, only few more examples are briefly reported. As to the extracellular structural proteins, apart the numerous studies on the diagnostic importance of the collagen-rich submucosa affecting the whole AF signal recorded at the surface of multilayered epithelial tissues,[70,74,75,77-79,186] early spectroscopic characterization of laser induced emission signals from atherosclerotic aorta were followed by the development of multiphoton analytical procedures for elastin and collagen in situ analysis.[187-190] In the case of collagen, as well as of other supramolecular periodically organized fibrous proteins with a non-centrosymmetric molecular structure, it is also to underline that multiphoton analysis offers the possibility to detect the Second Harmonic Generation (SHG), that is the light emission at half the incident laser wavelength.[190,191] These studies paved the way to renewed histological analysis for diagnostic applications through in situ three-dimensional visualization in intact tissues.[192-194] It is worth mentioning also the possibility to detect the accumulation of advanced glycation end-products in the skin, given by simple and non-invasive spectroscopy as a supportive method in the diagnosis and control of aging and of the glycemic complications in diabetes.[195,196] At last, the UV absorption properties of monoamine-aromatic neuromediators stimulated the development of different and sophisticate strategies exploiting their AF properties for their detection and monitoring in living cells and in the central nervous system.[197,198] Three-photon excitation microscopy, for example, allowed to measure and monitor the distribution and content of neurotransmitter granules within viable cells, providing a support to more conventional extracellular secretion assays, e.g. carbon-fiber amperometry.[199,200] In particular, the possibility provided by AF analysis to differentiated sequestered from unsequestred serotonin indicated an otherwise hardly detectable non-linear relationship between the two fractions, a supplementary factor of particular value in differentiation and drug response studies of serotoninergic cells.[201] In this respect, the AF spectroscopy potential for a direct monitoring of neurotransmitter was supported also by data obtained in vivo, through a optic fiber probe positioned via stereotaxis, from the hippocampus region of rats submitted to behavioral or pharmacological treatments affecting serotonin levels.[202,203]

Concluding remarks and future perspectives

Only some selected topics deserving interest in the biomedicine field have been considered in this review. This limited description, however, may sufficiently illustrate the long-time enduring and wide-ranging attention of the scientific community to AF of biological substrates. Endogenous fluorophores and their role as intrinsic biomarkers offer an exceptionally powerful tool to characterize in real time even subtle changes of interconnected morphological and metabolic properties of cells and tissues under physiological or altered conditions. In this concern, a very recent example of a powerful AF application has shown the possibility provided by two-photon excitation for noninvasive, automated and quantitative assessment of mitochondrial organization in intact, engineered epithelial tissues. Differences in the three-dimensional mitochondrial organization reflect alterations in metabolic activities and allow to discriminate normal and precancerous conditions, playing a role as hopeful early cancer diagnostic tool.[204] In the future, the interest in the AF phenomenon will certainly continue. Current instrumentation and analytical procedures will likely be overcome by the unceasing progress in new devices for AF detection and data interpretation; nevertheless, a progress is expected in the search, identification, photophysical characterization and biological meaning of additional biomolecules present in cells and tissues and exploitable as AF intrinsic biomarkers.
  161 in total

1.  On the origin of cancer cells.

Authors:  O WARBURG
Journal:  Science       Date:  1956-02-24       Impact factor: 47.728

2.  Improved routine bio-medical and bio-analytical online fluorescence measurements using fluorescence lifetime resolution.

Authors:  Lutz Pfeifer; Karsten Stein; Ute Fink; Alexander Welker; Bianca Wetzl; Petra Bastian; Otto S Wolfbeis
Journal:  J Fluoresc       Date:  2005-05       Impact factor: 2.217

Review 3.  Milestones in the development of photodynamic therapy and fluorescence diagnosis.

Authors:  Asta Juzeniene; Qian Peng; Johan Moan
Journal:  Photochem Photobiol Sci       Date:  2007-08-29       Impact factor: 3.982

4.  Oxidation-reduction states of NADH in vivo: from animals to clinical use.

Authors:  Avraham Mayevsky; Britton Chance
Journal:  Mitochondrion       Date:  2007-05-10       Impact factor: 4.160

Review 5.  Beyond white light endoscopy: the role of optical biopsy in inflammatory bowel disease.

Authors:  Julia Liu; Aldona Dlugosz; Helmut Neumann
Journal:  World J Gastroenterol       Date:  2013-11-21       Impact factor: 5.742

6.  Brain tissue autofluorescence: an aid for intraoperative delineation of tumor resection margins.

Authors:  G Bottiroli; A C Croce; D Locatelli; R Nano; E Giombelli; A Messina; E Benericetti
Journal:  Cancer Detect Prev       Date:  1998

7.  Naturally-occurring porphyrins in a spontaneous-tumour bearing mouse model.

Authors:  Anna Cleta Croce; Gerardo Santamaria; Uliana De Simone; Franco Lucchini; Isabel Freitas; Giovanni Bottiroli
Journal:  Photochem Photobiol Sci       Date:  2011-04-13       Impact factor: 3.982

8.  Microspectrofluorometric approach to the study of free/bound NAD(P)H ratio as metabolic indicator in various cell types.

Authors:  J M Salmon; E Kohen; P Viallet; J G Hirschberg; A W Wouters; C Kohen; B Thorell
Journal:  Photochem Photobiol       Date:  1982-11       Impact factor: 3.421

Review 9.  Lipofuscin of the retinal pigment epithelium: a review.

Authors:  C J Kennedy; P E Rakoczy; I J Constable
Journal:  Eye (Lond)       Date:  1995       Impact factor: 3.775

10.  Time-resolved and steady-state fluorescence spectroscopy of eumelanin and indolic polymers.

Authors:  Stephen P Nighswander-Rempel; Indumathy B Mahadevan; Halina Rubinsztein-Dunlop; Paul Meredith
Journal:  Photochem Photobiol       Date:  2007 Nov-Dec       Impact factor: 3.421

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  153 in total

Review 1.  Inorganic Complexes and Metal-Based Nanomaterials for Infectious Disease Diagnostics.

Authors:  Christine F Markwalter; Andrew G Kantor; Carson P Moore; Kelly A Richardson; David W Wright
Journal:  Chem Rev       Date:  2018-12-04       Impact factor: 60.622

2.  Multifunctional in vivo imaging of pancreatic islets during diabetes development.

Authors:  Ge Li; Binlin Wu; Meliza G Ward; Angie C N Chong; Sushmita Mukherjee; Shuibing Chen; Mingming Hao
Journal:  J Cell Sci       Date:  2016-06-06       Impact factor: 5.285

3.  Measuring the effect of a Western diet on liver tissue architecture by FLIM autofluorescence and harmonic generation microscopy.

Authors:  Suman Ranjit; Alexander Dvornikov; Evgenia Dobrinskikh; Xiaoxin Wang; Yuhuan Luo; Moshe Levi; Enrico Gratton
Journal:  Biomed Opt Express       Date:  2017-06-01       Impact factor: 3.732

4.  Slide-free virtual histochemistry (Part I): development via nonlinear optics.

Authors:  Sixian You; Yi Sun; Eric J Chaney; Youbo Zhao; Jianxin Chen; Stephen A Boppart; Haohua Tu
Journal:  Biomed Opt Express       Date:  2018-10-05       Impact factor: 3.732

5.  Recent progress on micro- and nano-robots: towards in vivo tracking and localization.

Authors:  Ben Wang; Yabin Zhang; Li Zhang
Journal:  Quant Imaging Med Surg       Date:  2018-06

6.  Adipo-Clear: A Tissue Clearing Method for Three-Dimensional Imaging of Adipose Tissue.

Authors:  Jingyi Chi; Audrey Crane; Zhuhao Wu; Paul Cohen
Journal:  J Vis Exp       Date:  2018-07-28       Impact factor: 1.355

7.  Autofluorescence in Parathyroidectomy: Signal Intensity Correlates with Serum Calcium and Parathyroid Hormone but Routine Clinical Use is Not Justified.

Authors:  Aimee DiMarco; Ravi Chotalia; Ruth Bloxham; Charlotte McIntyre; Neil Tolley; F Fausto Palazzo
Journal:  World J Surg       Date:  2019-06       Impact factor: 3.352

8.  Next Generation Histology-Directed Imaging Mass Spectrometry Driven by Autofluorescence Microscopy.

Authors:  Nathan Heath Patterson; Michael Tuck; Adam Lewis; Alexis Kaushansky; Jeremy L Norris; Raf Van de Plas; Richard M Caprioli
Journal:  Anal Chem       Date:  2018-10-16       Impact factor: 6.986

9.  Three-Dimensional Single-Molecule Localization Microscopy in Whole-Cell and Tissue Specimens.

Authors:  Sheng Liu; Hyun Huh; Sang-Hyuk Lee; Fang Huang
Journal:  Annu Rev Biomed Eng       Date:  2020-04-03       Impact factor: 9.590

Review 10.  Redox Signaling by Reactive Electrophiles and Oxidants.

Authors:  Saba Parvez; Marcus J C Long; Jesse R Poganik; Yimon Aye
Journal:  Chem Rev       Date:  2018-08-27       Impact factor: 60.622

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