Cargando…

Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments

Due to its specificity, fluorescence microscopy has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit fluorescence microscopy’s utility. Recently, it has been shown that artificial intelligence (AI) can transform one...

Descripción completa

Detalles Bibliográficos
Autores principales: Kandel, Mikhail E., He, Yuchen R., Lee, Young Jae, Chen, Taylor Hsuan-Yu, Sullivan, Kathryn Michele, Aydin, Onur, Saif, M. Taher A., Kong, Hyunjoon, Sobh, Nahil, Popescu, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721808/
https://www.ncbi.nlm.nih.gov/pubmed/33288761
http://dx.doi.org/10.1038/s41467-020-20062-x
_version_ 1783620095310823424
author Kandel, Mikhail E.
He, Yuchen R.
Lee, Young Jae
Chen, Taylor Hsuan-Yu
Sullivan, Kathryn Michele
Aydin, Onur
Saif, M. Taher A.
Kong, Hyunjoon
Sobh, Nahil
Popescu, Gabriel
author_facet Kandel, Mikhail E.
He, Yuchen R.
Lee, Young Jae
Chen, Taylor Hsuan-Yu
Sullivan, Kathryn Michele
Aydin, Onur
Saif, M. Taher A.
Kong, Hyunjoon
Sobh, Nahil
Popescu, Gabriel
author_sort Kandel, Mikhail E.
collection PubMed
description Due to its specificity, fluorescence microscopy has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit fluorescence microscopy’s utility. Recently, it has been shown that artificial intelligence (AI) can transform one form of contrast into another. We present phase imaging with computational specificity (PICS), a combination of quantitative phase imaging and AI, which provides information about unlabeled live cells with high specificity. Our imaging system allows for automatic training, while inference is built into the acquisition software and runs in real-time. Applying the computed fluorescence maps back to the quantitative phase imaging (QPI) data, we measured the growth of both nuclei and cytoplasm independently, over many days, without loss of viability. Using a QPI method that suppresses multiple scattering, we measured the dry mass content of individual cell nuclei within spheroids. In its current implementation, PICS offers a versatile quantitative technique for continuous simultaneous monitoring of individual cellular components in biological applications where long-term label-free imaging is desirable.
format Online
Article
Text
id pubmed-7721808
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-77218082020-12-11 Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments Kandel, Mikhail E. He, Yuchen R. Lee, Young Jae Chen, Taylor Hsuan-Yu Sullivan, Kathryn Michele Aydin, Onur Saif, M. Taher A. Kong, Hyunjoon Sobh, Nahil Popescu, Gabriel Nat Commun Article Due to its specificity, fluorescence microscopy has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit fluorescence microscopy’s utility. Recently, it has been shown that artificial intelligence (AI) can transform one form of contrast into another. We present phase imaging with computational specificity (PICS), a combination of quantitative phase imaging and AI, which provides information about unlabeled live cells with high specificity. Our imaging system allows for automatic training, while inference is built into the acquisition software and runs in real-time. Applying the computed fluorescence maps back to the quantitative phase imaging (QPI) data, we measured the growth of both nuclei and cytoplasm independently, over many days, without loss of viability. Using a QPI method that suppresses multiple scattering, we measured the dry mass content of individual cell nuclei within spheroids. In its current implementation, PICS offers a versatile quantitative technique for continuous simultaneous monitoring of individual cellular components in biological applications where long-term label-free imaging is desirable. Nature Publishing Group UK 2020-12-07 /pmc/articles/PMC7721808/ /pubmed/33288761 http://dx.doi.org/10.1038/s41467-020-20062-x Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kandel, Mikhail E.
He, Yuchen R.
Lee, Young Jae
Chen, Taylor Hsuan-Yu
Sullivan, Kathryn Michele
Aydin, Onur
Saif, M. Taher A.
Kong, Hyunjoon
Sobh, Nahil
Popescu, Gabriel
Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments
title Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments
title_full Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments
title_fullStr Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments
title_full_unstemmed Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments
title_short Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments
title_sort phase imaging with computational specificity (pics) for measuring dry mass changes in sub-cellular compartments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721808/
https://www.ncbi.nlm.nih.gov/pubmed/33288761
http://dx.doi.org/10.1038/s41467-020-20062-x
work_keys_str_mv AT kandelmikhaile phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments
AT heyuchenr phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments
AT leeyoungjae phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments
AT chentaylorhsuanyu phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments
AT sullivankathrynmichele phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments
AT aydinonur phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments
AT saifmtahera phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments
AT konghyunjoon phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments
AT sobhnahil phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments
AT popescugabriel phaseimagingwithcomputationalspecificitypicsformeasuringdrymasschangesinsubcellularcompartments