Next Article in Journal
General Total Least Squares Theory for Geodetic Coordinate Transformations
Next Article in Special Issue
Label-Free Classification of Apoptosis, Ferroptosis and Necroptosis Using Digital Holographic Cytometry
Previous Article in Journal
Adaptive Speech Separation Based on Beamforming and Frequency Domain-Independent Component Analysis
Previous Article in Special Issue
Evaluation of the Impact of Imprinted Polymer Particles on Morphology and Motility of Breast Cancer Cells by Using Digital Holographic Cytometry
Open AccessFeature PaperArticle

Quantitative Phase Dynamics of Cancer Cell Populations Affected by Blue Light

1
Department of Physiology, Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic
2
Department of Biomedical Sciences, Faculty of Health and Society, Malmö University, 214 28 Malmö, Sweden
3
Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, 616 00 Brno, Czech Republic
4
Department of Pathophysiology, Faculty of Medicine, Masaryk University, 625 00 Brno, Czech Republic
5
Department of Chemistry and Biochemistry, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic
6
Biofilms Research Center for Biointerfaces, Malmö University, 214 28 Malmö, Sweden
7
BIOCEV, First Faculty of Medicine, Charles University, Prumyslova 595, 252 50 Vestec, Czech Republic
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(7), 2597; https://doi.org/10.3390/app10072597
Received: 12 March 2020 / Revised: 2 April 2020 / Accepted: 4 April 2020 / Published: 9 April 2020
(This article belongs to the Special Issue Applications of Digital Holography in Biomedical Engineering)
Increased exposition to blue light may induce many changes in cell behavior and significantly affect the critical characteristics of cells. Here we show that multimodal holographic microscopy (MHM) within advanced image analysis is capable of correctly distinguishing between changes in cell motility, cell dry mass, cell density, and cell death induced by blue light. We focused on the effect of blue light with a wavelength of 485 nm on morphological and dynamical parameters of four cell lines, malignant PC-3, A2780, G361 cell lines, and the benign PNT1A cell line. We used MHM with blue light doses 24 mJ/cm2, 208 mJ/cm2 and two kinds of expositions (500 and 1000 ms) to acquire real-time quantitative phase information about cellular parameters. It has been shown that specific doses of the blue light significantly influence cell motility, cell dry mass and cell density. These changes were often specific for the malignant status of tested cells. Blue light dose 208 mJ/cm2 × 1000 ms affected malignant cell motility but did not change the motility of benign cell line PNT1A. This light dose also significantly decreased proliferation activity in all tested cell lines but was not so deleterious for benign cell line PNT1A as for malignant cells. Light dose 208 mJ/cm2 × 1000 ms oppositely affected cell mass in A2780 and PC-3 cells and induced different types of cell death in A2780 and G361 cell lines. Cells obtained the least damage on lower doses of light with shorter time of exposition. View Full-Text
Keywords: holographic microscopy; quantitative phase imaging; blue light; cell mass; cell motility; cell death holographic microscopy; quantitative phase imaging; blue light; cell mass; cell motility; cell death
Show Figures

Figure 1

MDPI and ACS Style

Feith, M.; Vičar, T.; Gumulec, J.; Raudenská, M.; Gjörloff Wingren, A.; Masařík, M.; Balvan, J. Quantitative Phase Dynamics of Cancer Cell Populations Affected by Blue Light. Appl. Sci. 2020, 10, 2597.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop