Literature DB >> 31646023

Quantitative assessment of changes in cellular morphology at photodynamic treatment in vitro by means of digital holographic microscopy.

A V Belashov1, A A Zhikhoreva1, T N Belyaeva2, N N Nikolsky2, I V Semenova1, E S Kornilova2,3,4, O S Vasyutinskii1.   

Abstract

Temporal dependence of changes in the morphological characteristics of cells of two cultured lines of cancer origin, HeLa and A549, induced by photodynamic treatment with Radachlorin photosensitizer, have been monitored using digital holographic microscopy during first two hours after short-term irradiation. The observed post-treatment early dynamics of the phase shift in the transmitted wavefront indicated several distinct scenarios of cell behavior depending upon the irradiation dose. In particular the phase shift increased at low doses, which can be associated with apoptosis, while at high doses it decreased, which can be associated with necrosis. As shown, the two cell types responded differently to similar irradiation doses. Although the sequence of death scenarios with the increase of the irradiation dose was the same, each scenario was realized at substantially different doses. These findings suggest that the average phase shift of the transmitted wavefront can be used for quantitative non-invasive cell death characterization. The conclusions made were cofirmed by commonly used test assays using confocal fluorescent microscopy.
© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2019        PMID: 31646023      PMCID: PMC6788599          DOI: 10.1364/BOE.10.004975

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  29 in total

Review 1.  Senescence as a general cellular response to stress: A mini-review.

Authors:  Irina Fridlyanskaya; Larisa Alekseenko; Nikolay Nikolsky
Journal:  Exp Gerontol       Date:  2015-10-03       Impact factor: 4.032

Review 2.  Epidermal growth factor receptor (EGFR) signaling in cancer.

Authors:  Nicola Normanno; Antonella De Luca; Caterina Bianco; Luigi Strizzi; Mario Mancino; Monica R Maiello; Adele Carotenuto; Gianfranco De Feo; Francesco Caponigro; David S Salomon
Journal:  Gene       Date:  2005-12-27       Impact factor: 3.688

Review 3.  Apoptosis: a review of programmed cell death.

Authors:  Susan Elmore
Journal:  Toxicol Pathol       Date:  2007-06       Impact factor: 1.902

4.  Digital off-axis holographic interferometry with simulated wavefront.

Authors:  A V Belashov; N V Petrov; I V Semenova
Journal:  Opt Express       Date:  2014-11-17       Impact factor: 3.894

5.  Digital holographic microscopy in label-free analysis of cultured cells' response to photodynamic treatment.

Authors:  A V Belashov; A A Zhikhoreva; T N Belyaeva; E S Kornilova; N V Petrov; A V Salova; I V Semenova; O S Vasyutinskii
Journal:  Opt Lett       Date:  2016-11-01       Impact factor: 3.776

6.  Time-resolved spectral analysis of Radachlorin luminescence in water.

Authors:  V P Belik; I M Gadzhiev; I V Semenova; O S Vasyutinskii
Journal:  Spectrochim Acta A Mol Biomol Spectrosc       Date:  2017-02-02       Impact factor: 4.098

Review 7.  Photodynamic therapy (PDT): a short review on cellular mechanisms and cancer research applications for PDT.

Authors:  C A Robertson; D Hawkins Evans; H Abrahamse
Journal:  J Photochem Photobiol B       Date:  2009-04-11       Impact factor: 6.252

8.  A simple technique for quantifying apoptosis in 96-well plates.

Authors:  Deborah Ribble; Nathaniel B Goldstein; David A Norris; Yiqun G Shellman
Journal:  BMC Biotechnol       Date:  2005-05-10       Impact factor: 2.563

9.  High resolution melting analysis for the rapid and sensitive detection of mutations in clinical samples: KRAS codon 12 and 13 mutations in non-small cell lung cancer.

Authors:  Michael Krypuy; Genni M Newnham; David M Thomas; Matthew Conron; Alexander Dobrovic
Journal:  BMC Cancer       Date:  2006-12-21       Impact factor: 4.430

10.  Involvement of autophagy in the outcome of mitotic catastrophe.

Authors:  Irina V Sorokina; Tatiana V Denisenko; Gabriela Imreh; Pyotr A Tyurin-Kuzmin; Vitaliy O Kaminskyy; Vladimir Gogvadze; Boris Zhivotovsky
Journal:  Sci Rep       Date:  2017-11-06       Impact factor: 4.379

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  3 in total

1.  Quantitative scoring of epithelial and mesenchymal qualities of cancer cells using machine learning and quantitative phase imaging.

Authors:  Van Lam; Thanh Nguyen; Vy Bui; Byung Min Chung; Lin-Ching Chang; George Nehmetallah; Christopher Raub
Journal:  J Biomed Opt       Date:  2020-02       Impact factor: 3.170

2.  Machine Learning Assisted Classification of Cell Lines and Cell States on Quantitative Phase Images.

Authors:  Andrey V Belashov; Anna A Zhikhoreva; Tatiana N Belyaeva; Anna V Salova; Elena S Kornilova; Irina V Semenova; Oleg S Vasyutinskii
Journal:  Cells       Date:  2021-09-29       Impact factor: 6.600

3.  Investigating Morphological Changes of T-lymphocytes after Exposure with Bacterial Determinants for Early Detection of Septic Conditions.

Authors:  Kari Lavinia Vom Werth; Theresa Wörmann; Björn Kemper; Philipp Kümpers; Stefanie Kampmeier; Alexander Mellmann
Journal:  Microorganisms       Date:  2022-02-08
  3 in total

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