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Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics

Label-free optical microscopy has matured as a noninvasive tool for biological imaging; yet, it is criticized for its lack of specificity, slow acquisition and processing times, and weak and noisy optical signals that lead to inaccuracies in quantification. We introduce FOCALS (Fast Optical Coherenc...

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Autores principales: Iyer, Rishyashring R., Sorrells, Janet E., Yang, Lingxiao, Chaney, Eric J., Spillman, Darold R., Tibble, Brian E., Renteria, Carlos A., Tu, Haohua, Žurauskas, Mantas, Marjanovic, Marina, Boppart, Stephen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891278/
https://www.ncbi.nlm.nih.gov/pubmed/35236862
http://dx.doi.org/10.1038/s41598-022-06926-w
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author Iyer, Rishyashring R.
Sorrells, Janet E.
Yang, Lingxiao
Chaney, Eric J.
Spillman, Darold R.
Tibble, Brian E.
Renteria, Carlos A.
Tu, Haohua
Žurauskas, Mantas
Marjanovic, Marina
Boppart, Stephen A.
author_facet Iyer, Rishyashring R.
Sorrells, Janet E.
Yang, Lingxiao
Chaney, Eric J.
Spillman, Darold R.
Tibble, Brian E.
Renteria, Carlos A.
Tu, Haohua
Žurauskas, Mantas
Marjanovic, Marina
Boppart, Stephen A.
author_sort Iyer, Rishyashring R.
collection PubMed
description Label-free optical microscopy has matured as a noninvasive tool for biological imaging; yet, it is criticized for its lack of specificity, slow acquisition and processing times, and weak and noisy optical signals that lead to inaccuracies in quantification. We introduce FOCALS (Fast Optical Coherence, Autofluorescence Lifetime imaging, and Second harmonic generation) microscopy capable of generating NAD(P)H fluorescence lifetime, second harmonic generation (SHG), and polarization-sensitive optical coherence microscopy (OCM) images simultaneously. Multimodal imaging generates quantitative metabolic and morphological profiles of biological samples in vitro, ex vivo, and in vivo. Fast analog detection of fluorescence lifetime and real-time processing on a graphical processing unit enables longitudinal imaging of biological dynamics. We detail the effect of optical aberrations on the accuracy of FLIM beyond the context of undistorting image features. To compensate for the sample-induced aberrations, we implemented a closed-loop single-shot sensorless adaptive optics solution, which uses computational adaptive optics of OCM for wavefront estimation within 2 s and improves the quality of quantitative fluorescence imaging in thick tissues. Multimodal imaging with complementary contrasts improves the specificity and enables multidimensional quantification of the optical signatures in vitro, ex vivo, and in vivo, fast acquisition and real-time processing improve imaging speed by 4–40 × while maintaining enough signal for quantitative nonlinear microscopy, and adaptive optics improves the overall versatility, which enable FOCALS microscopy to overcome the limits of traditional label-free imaging techniques.
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spelling pubmed-88912782022-03-03 Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics Iyer, Rishyashring R. Sorrells, Janet E. Yang, Lingxiao Chaney, Eric J. Spillman, Darold R. Tibble, Brian E. Renteria, Carlos A. Tu, Haohua Žurauskas, Mantas Marjanovic, Marina Boppart, Stephen A. Sci Rep Article Label-free optical microscopy has matured as a noninvasive tool for biological imaging; yet, it is criticized for its lack of specificity, slow acquisition and processing times, and weak and noisy optical signals that lead to inaccuracies in quantification. We introduce FOCALS (Fast Optical Coherence, Autofluorescence Lifetime imaging, and Second harmonic generation) microscopy capable of generating NAD(P)H fluorescence lifetime, second harmonic generation (SHG), and polarization-sensitive optical coherence microscopy (OCM) images simultaneously. Multimodal imaging generates quantitative metabolic and morphological profiles of biological samples in vitro, ex vivo, and in vivo. Fast analog detection of fluorescence lifetime and real-time processing on a graphical processing unit enables longitudinal imaging of biological dynamics. We detail the effect of optical aberrations on the accuracy of FLIM beyond the context of undistorting image features. To compensate for the sample-induced aberrations, we implemented a closed-loop single-shot sensorless adaptive optics solution, which uses computational adaptive optics of OCM for wavefront estimation within 2 s and improves the quality of quantitative fluorescence imaging in thick tissues. Multimodal imaging with complementary contrasts improves the specificity and enables multidimensional quantification of the optical signatures in vitro, ex vivo, and in vivo, fast acquisition and real-time processing improve imaging speed by 4–40 × while maintaining enough signal for quantitative nonlinear microscopy, and adaptive optics improves the overall versatility, which enable FOCALS microscopy to overcome the limits of traditional label-free imaging techniques. Nature Publishing Group UK 2022-03-02 /pmc/articles/PMC8891278/ /pubmed/35236862 http://dx.doi.org/10.1038/s41598-022-06926-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Iyer, Rishyashring R.
Sorrells, Janet E.
Yang, Lingxiao
Chaney, Eric J.
Spillman, Darold R.
Tibble, Brian E.
Renteria, Carlos A.
Tu, Haohua
Žurauskas, Mantas
Marjanovic, Marina
Boppart, Stephen A.
Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics
title Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics
title_full Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics
title_fullStr Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics
title_full_unstemmed Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics
title_short Label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics
title_sort label-free metabolic and structural profiling of dynamic biological samples using multimodal optical microscopy with sensorless adaptive optics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891278/
https://www.ncbi.nlm.nih.gov/pubmed/35236862
http://dx.doi.org/10.1038/s41598-022-06926-w
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