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Morphological profiling by high-throughput single-cell biophysical fractometry.
- Source :
-
Communications Biology . 4/24/2023, Vol. 6 Issue 1, p1-13. 13p. - Publication Year :
- 2023
-
Abstract
- Complex and irregular cell architecture is known to statistically exhibit fractal geometry, i.e., a pattern resembles a smaller part of itself. Although fractal variations in cells are proven to be closely associated with the disease-related phenotypes that are otherwise obscured in the standard cell-based assays, fractal analysis with single-cell precision remains largely unexplored. To close this gap, here we develop an image-based approach that quantifies a multitude of single-cell biophysical fractal-related properties at subcellular resolution. Taking together with its high-throughput single-cell imaging performance (~10,000 cells/sec), this technique, termed single-cell biophysical fractometry, offers sufficient statistical power for delineating the cellular heterogeneity, in the context of lung-cancer cell subtype classification, drug response assays and cell-cycle progression tracking. Further correlative fractal analysis shows that single-cell biophysical fractometry can enrich the standard morphological profiling depth and spearhead systematic fractal analysis of how cell morphology encodes cellular health and pathological conditions. A high-throughput image-based approach quantifies single-cell biophysical fractal-related properties at subcellular resolution with statistical power for cell classification, drug response assays, and cell-cycle progression tracking. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 23993642
- Volume :
- 6
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Communications Biology
- Publication Type :
- Academic Journal
- Accession number :
- 163295119
- Full Text :
- https://doi.org/10.1038/s42003-023-04839-6