Computationally enhanced quantitative phase microscopy reveals autonomous oscillations in mammalian cell growth.

ABSTRACT: The fine balance of growth and division is a fundamental property of the physiology of cells, and one of the least understood. Its study has been thwarted by difficulties in the accurate measurement of cell size and the even greater challenges of measuring growth of a single cell over time. We address these limitations by demonstrating a computationally enhanced methodology for quantitative phase microscopy for adherent cells, using improved image processing algorithms and automated cell-tracking software. Accuracy has been improved more than twofold and this improvement is sufficient to establish the dynamics of cell growth and adherence to simple growth laws. It is also sufficient to reveal unknown features of cell growth, previously unmeasurable. With these methodological and analytical

SUBMITTER: Liu X 

PROVIDER: S-EPMC7959529 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature