SLIM-assisted automatic cartography of cell death types and rates resulting from localized photodynamic treatment

We report a spatial light interference microscopy (SLIM)-based methodology aimed at automatic monitoring and analysis of changes in cellular morphology within extended fields of view in cytological samples. The experimental validation was performed on HeLa cells in vitro subjected to localized photodynamic treatment. The performed long-term noninvasive monitoring using the SLIM technique allowed us to estimate quantitative parameters characterizing the dynamics of average phase shift in individual cells and to reveal changes in their morphology specific for different mechanisms of cell death. The results obtained evidenced that the proposed SLIM-based methodology provides an opportunity for identification of cell death type and quantification of cell death rate in an automatic mode. The major sources of potential errors that can affect the results obtained are discussed. The developed methodology is promising for automatic monitoring of large ensembles of individual cells and for quantitative characterization of their response to various treatment modalities.

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Publication Details

Journal
Journal of the Optical Society of America A
Published
2024-09-23
DOI
https://doi.org/10.1364/josaa.534241
Citations
2
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.32
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article

SLIM-assisted automatic cartography of cell death types and rates resulting from localized photodynamic treatment

А.В. Салова, А.А. Жихорева, А.В. Белашов, И. К. Литвинов et al.
2 citations
Journal of the Optical Society of America A
Cell Image Analysis Techniques
1.32
article

SLIM-assisted automatic cartography of cell death types and rates resulting from localized photodynamic treatment

А.В. Салова, А.А. Жихорева, А.В. Белашов, И. К. Литвинов, И. В. Семенова, T. N. Belyaeva, Е. С. Корнилова
article en
2 citations

Abstract

We report a spatial light interference microscopy (SLIM)-based methodology aimed at automatic monitoring and analysis of changes in cellular morphology within extended fields of view in cytological samples. The experimental validation was performed on HeLa cells in vitro subjected to localized photodynamic treatment. The performed long-term noninvasive monitoring using the SLIM technique allowed us to estimate quantitative parameters characterizing the dynamics of average phase shift in individual cells and to reveal changes in their morphology specific for different mechanisms of cell death. The results obtained evidenced that the proposed SLIM-based methodology provides an opportunity for identification of cell death type and quantification of cell death rate in an automatic mode. The major sources of potential errors that can affect the results obtained are discussed. The developed methodology is promising for automatic monitoring of large ensembles of individual cells and for quantitative characterization of their response to various treatment modalities.

Journal of the Optical Society of America AVol. 41(11)
Russian Academy of Sciences (RU), Ioffe Institute (RU)
Good health and well-being
Openalex Percentile: Top 15%
Cell Image Analysis Techniques
1.32
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