Paper
22 June 2015 Applicaton of speckle dynamics for studies of cell metabolism
A. P. Vladimirov, A. A. Baharev, A. S. Malygin, J. A. Mikhailova, I. A. Novoselova, D. I. Yakin
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Abstract
Previously, a speckle interferometry technique and a device that allows quantitative evaluation of the metabolic activity of cultured cells were theoretically grounded and successfully tested. A speckle time-averaging technique was proposed to separate and study the processes occurring in cells at various velocities. The objective of the present research was comparing the parameters of speckle dynamics used to evaluate cell metabolism and averaged in areas of various size. Areas inside the speckle image of a cell as well as areas of the image plane with various numbers of cells were averaging areas. The target of the research was cells from L-41 culture placed onto a special optical tray with a nutrient solution immediately after defrosting. Time-average value T of digital radiation intensity in the TV camera pixels I (1) and the correlation coefficient of two digital images η (2) were used as speckle field change parameters. The digital images corresponded to a single frame area at two time moments. It is shown that in the area containing hundreds of cells dependence η(t) levels off, which indicate stationarity of random value I~ . Features of η(t) dependences obtained by averaging over large and small cell numbers image are discussed. Using the data obtained, we formulated recommendations on selecting area sizes for averaging physical values to study various processes occurring in cells.
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A. P. Vladimirov, A. A. Baharev, A. S. Malygin, J. A. Mikhailova, I. A. Novoselova, and D. I. Yakin "Applicaton of speckle dynamics for studies of cell metabolism ", Proc. SPIE 9529, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials II, 95291F (22 June 2015); https://doi.org/10.1117/12.2184605
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Cited by 2 scholarly publications.
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KEYWORDS
Speckle

Mode conditioning cables

Cameras

Digital imaging

Speckle interferometry

Image processing

Digital image correlation

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