Literature DB >> 35991911

Microscopy is better in color: development of a streamlined spectral light path for real-time multiplex fluorescence microscopy.

Craig M Browning1,2,3, Samantha Mayes1,3, Samuel A Mayes1,2, Thomas C Rich4,5, Silas J Leavesley1,4,5.   

Abstract

Spectroscopic image data has provided molecular discrimination for numerous fields including: remote sensing, food safety and biomedical imaging. Despite the various technologies for acquiring spectral data, there remains a trade-off when acquiring data. Typically, spectral imaging either requires long acquisition times to collect an image stack with high spectral specificity or acquisition times are shortened at the expense of fewer spectral bands or reduced spatial sampling. Hence, new spectral imaging microscope platforms are needed to help mitigate these limitations. Fluorescence excitation-scanning spectral imaging is one such new technology, which allows more of the emitted signal to be detected than comparable emission-scanning spectral imaging systems. Here, we have developed a new optical geometry that provides spectral illumination for use in excitation-scanning spectral imaging microscope systems. This was accomplished using a wavelength-specific LED array to acquire spectral image data. Feasibility of the LED-based spectral illuminator was evaluated through simulation and benchtop testing and assessment of imaging performance when integrated with a widefield fluorescence microscope. Ray tracing simulations (TracePro) were used to determine optimal optical component selection and geometry. Spectral imaging feasibility was evaluated using a series of 6-label fluorescent slides. The LED-based system response was compared to a previously tested thin-film tunable filter (TFTF)-based system. Spectral unmixing successfully discriminated all fluorescent components in spectral image data acquired from both the LED and TFTF systems. Therefore, the LED-based spectral illuminator provided spectral image data sets with comparable information content so as to allow identification of each fluorescent component. These results provide proof-of-principle demonstration of the ability to combine output from many discrete wavelength LED sources using a double-mirror (Cassegrain style) optical configuration that can be further modified to allow for high speed, video-rate spectral image acquisition. Real-time spectral fluorescence microscopy would allow monitoring of rapid cell signaling processes (i.e., Ca2+ and other second messenger signaling) and has potential to be translated to clinical imaging platforms.
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 35991911      PMCID: PMC9352297          DOI: 10.1364/BOE.453657

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.562


  44 in total

1.  Autofluorescence removal, multiplexing, and automated analysis methods for in-vivo fluorescence imaging.

Authors:  James R Mansfield; Kirk W Gossage; Clifford C Hoyt; Richard M Levenson
Journal:  J Biomed Opt       Date:  2005 Jul-Aug       Impact factor: 3.170

2.  Hyperspectral confocal microscope.

Authors:  Michael B Sinclair; David M Haaland; Jerilyn A Timlin; Howland D T Jones
Journal:  Appl Opt       Date:  2006-08-20       Impact factor: 1.980

3.  Intraoperative hyperspectral label-free imaging: from system design to first-in-patient translation.

Authors:  Eli Nabavi; Jonathan Shapey; Yijing Xie; Florentin Liebmann; José Miguel Spirig; Armando Hoch; Mazda Farshad; Shakeel R Saeed; Robert Bradford; Iain Yardley; Sébastien Ourselin; A David Edwards; Philipp Führnstahl; Tom Vercauteren
Journal:  J Phys D Appl Phys       Date:  2021-05-14       Impact factor: 3.207

4.  A Spherical Mirror-based Illumination System for Fluorescence Excitation-Scanning Hyperspectral Imaging.

Authors:  Samantha Gunn Mayes; Samuel A Mayes; Craig Browning; Marina Parker; Thomas C Rich; Silas J Leavesley
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2019-03-04

5.  Excitation-scanning hyperspectral video endoscopy: enhancing the light at the end of the tunnel.

Authors:  Craig M Browning; Joshua Deal; Sam Mayes; Arslan Arshad; Thomas C Rich; Silas J Leavesley
Journal:  Biomed Opt Express       Date:  2020-12-10       Impact factor: 3.732

6.  Visualization of quantitative lipid distribution in mouse liver through near-infrared hyperspectral imaging.

Authors:  Kyohei Okubo; Yuichi Kitagawa; Naoki Hosokawa; Masakazu Umezawa; Masao Kamimura; Tomonori Kamiya; Naoko Ohtani; Kohei Soga
Journal:  Biomed Opt Express       Date:  2021-01-12       Impact factor: 3.732

7.  Confocal hyperspectral microscopic imager for the detection and classification of individual microalgae.

Authors:  Jing Luo; Haodong Zhang; Erik Forsberg; Saimei Hou; Shuo Li; Zhanpeng Xu; Xiang Chen; Xiaohong Sun; Sailing He
Journal:  Opt Express       Date:  2021-11-08       Impact factor: 3.894

8.  Assessing FRET using spectral techniques.

Authors:  Silas J Leavesley; Andrea L Britain; Lauren K Cichon; Viacheslav O Nikolaev; Thomas C Rich
Journal:  Cytometry A       Date:  2013-08-08       Impact factor: 4.355

9.  High-speed assessment of fat and water content distribution in fish fillets using online imaging spectroscopy.

Authors:  Gamal ElMasry; Jens Petter Wold
Journal:  J Agric Food Chem       Date:  2008-07-26       Impact factor: 5.279

Review 10.  In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer.

Authors:  Martin Halicek; Himar Fabelo; Samuel Ortega; Gustavo M Callico; Baowei Fei
Journal:  Cancers (Basel)       Date:  2019-05-30       Impact factor: 6.639

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