Study of cancer and normal cells dynamics based on laser interference microscopy

Nikitiuk, A.S.; Voronina, A. O.; Beloglazova, Yuliya A.; Ozernykh, Olga S.; Гришко, В. В.; Naimark, Oleg

doi:10.1063/5.0003695

Cited by 1 publication

(1 citation statement)

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“…Previously, we developed a LIM-aided method enabling the morphometry and dynamics determination of viable cancer and non-cancer cells without any dyes [32,33]. In this method, the dynamics of the phase thickness of a single cell was recorded in real-time, near to the vicinity of the nucleolus boundary and considered as an integrating signal of cellular metabolic activity.…”

Section: Introductionmentioning

confidence: 99%

Label-Free Single Cell Viability Assay Using Laser Interference Microscopy

Beloglazova

Nikitiuk

Voronina

et al. 2021

Biology

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Laser interference microscopy (LIM) is a promising label-free method for single-cell research applicable to cell viability assessment in the studies of mammalian cells. This paper describes the development of a sensitive and reproducible method for assessing cell viability using LIM. The method, based on associated signal processing techniques, has been developed as a result of real-time investigation in phase thickness fluctuations of viable and non-viable MCF-7 cells, reflecting the presence and absence of their metabolic activity. As evinced by the values of the variable vc, this variable determines the viability of a cell only in the attached state (vc exceeds 20 nm2 for viable attached cells). The critical value of the power spectrum slope βc of the phase thickness fluctuations equals 1.00 for attached MCF-7 cells and 0.71 for suspended cells. The slope of the phase fluctuations’ power spectrum for MCF-7 cells was determined to exceed the threshold value of βc for a living cell, otherwise the cell is dead. The results evince the power spectrum slope as the most appropriate indicator of cell viability, while the integrated evaluation criterion (vc and βc values) can be used to assay the viability of attached cells.

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Section: Introductionmentioning

confidence: 99%