Literature DB >> 22607264

Optical imaging using endogenous contrast to assess metabolic state.

Irene Georgakoudi1, Kyle P Quinn.   

Abstract

Optical microscopic imaging offers opportunities to perform noninvasive assessments of numerous parameters associated with the biochemistry, morphology, and functional state of biological samples. For example, it is possible to detect the endogenous fluorescence from a small number of important biomolecules, including NADH and FAD, which are two coenzymes involved in key metabolic pathways such as glycolysis, the Krebs cycle, and oxidative phosphorylation. Here, we review different imaging approaches to isolate the fluorescence from these chromophores in two- and three-dimensional samples and discuss the origins and potential interpretation of the observed signals in terms of cell metabolic status. Finally, we discuss the challenges and limitations of these approaches, as well as important research directions that we expect will evolve in the near future.

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Year:  2012        PMID: 22607264     DOI: 10.1146/annurev-bioeng-071811-150108

Source DB:  PubMed          Journal:  Annu Rev Biomed Eng        ISSN: 1523-9829            Impact factor:   9.590


  102 in total

1.  Endogenous two-photon fluorescence imaging elucidates metabolic changes related to enhanced glycolysis and glutamine consumption in precancerous epithelial tissues.

Authors:  Antonio Varone; Joanna Xylas; Kyle P Quinn; Dimitra Pouli; Gautham Sridharan; Margaret E McLaughlin-Drubin; Carlo Alonzo; Kyongbum Lee; Karl Münger; Irene Georgakoudi
Journal:  Cancer Res       Date:  2014-03-31       Impact factor: 12.701

2.  Two-Photon Intravital Fluorescence Lifetime Imaging of the Kidney Reveals Cell-Type Specific Metabolic Signatures.

Authors:  Takashi Hato; Seth Winfree; Richard Day; Ruben M Sandoval; Bruce A Molitoris; Mervin C Yoder; Roger C Wiggins; Yi Zheng; Kenneth W Dunn; Pierre C Dagher
Journal:  J Am Soc Nephrol       Date:  2017-03-01       Impact factor: 10.121

3.  Rapid quantification of mitochondrial fractal dimension in individual cells.

Authors:  Isaac Vargas; Kinan Alhallak; Olivia I Kolenc; Samir V Jenkins; Robert J Griffin; Ruud P M Dings; Narasimhan Rajaram; Kyle P Quinn
Journal:  Biomed Opt Express       Date:  2018-10-09       Impact factor: 3.732

4.  Ex vivo optical metabolic measurements from cultured tissue reflect in vivo tissue status.

Authors:  Alex J Walsh; Kristin M Poole; Craig L Duvall; Melissa C Skala
Journal:  J Biomed Opt       Date:  2012-11       Impact factor: 3.170

5.  Optical Redox Imaging of Fixed Unstained Muscle Slides Reveals Useful Biological Information.

Authors:  He N Xu; Huaqing Zhao; Karthikeyani Chellappa; James G Davis; Shoko Nioka; Joseph A Baur; Lin Z Li
Journal:  Mol Imaging Biol       Date:  2019-06       Impact factor: 3.488

6.  Optical metabolic imaging quantifies heterogeneous cell populations.

Authors:  Alex J Walsh; Melissa C Skala
Journal:  Biomed Opt Express       Date:  2015-01-15       Impact factor: 3.732

7.  Multiphoton microscopy of the dermoepidermal junction and automated identification of dysplastic tissues with deep learning.

Authors:  Mikko J Huttunen; Radu Hristu; Adrian Dumitru; Iustin Floroiu; Mariana Costache; Stefan G Stanciu
Journal:  Biomed Opt Express       Date:  2019-12-10       Impact factor: 3.732

8.  Optical redox imaging indices discriminate human breast cancer from normal tissues.

Authors:  He N Xu; Julia Tchou; Min Feng; Huaqing Zhao; Lin Z Li
Journal:  J Biomed Opt       Date:  2016-11-01       Impact factor: 3.170

Review 9.  Non-invasive Assessments of Adipose Tissue Metabolism In Vitro.

Authors:  Rosalyn D Abbott; Francis E Borowsky; Kyle P Quinn; David L Bernstein; Irene Georgakoudi; David L Kaplan
Journal:  Ann Biomed Eng       Date:  2015-09-23       Impact factor: 3.934

10.  Intravital microscopy of biosensor activities and intrinsic metabolic states.

Authors:  Seth Winfree; Takashi Hato; Richard N Day
Journal:  Methods       Date:  2017-04-21       Impact factor: 3.608

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