ArticleiScience2024
Rapid mechanical phenotyping of breast cancer cells based on stochastic intracellular fluctuations.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Nondestructive, High-Resolution T Cell Characterization and Subtyping via Deep-UV Microscopy.BME frontiers · 2026Article
- Label-free in-line characterization of immune cell culture using quantitative phase imaging.NPJ Regenerative medicine · 2025Article
- Multiparametric quantification of bacterial cells using digital holographic microscopy.Scientific reports · 2025Article
- The Mechanical Properties of Breast Cancer Cells and Their Surrounding Microenvironment.International journal of molecular sciences · 2025Review
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Authors and funding
9 authors.
Funding
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Abstract
Predicting the phenotypic impact of genetic variants and treatments is crucial in cancer genetics and precision oncology. Here, we have developed a noise decorrelation method that enables quantitative phase imaging (QPI) with the capability for label-free noninvasive mapping of intracellular dry mass fluctuations within the millisecond-to-second timescale regime, previously inaccessible due to temporal phase noise. Applied to breast cancer cells, this method revealed regions driven by thermal forces and regions of intense activity fueled by ATP hydrolysis. Intriguingly, as malignancy increases, the cells strategically expand these active regions to satisfy increasing energy demands. We propose parameters encapsulating key information about the spatiotemporal distribution of intracellular fluctuations, enabling precise phenotyping. This technique addresses the need for accurate, rapid functional screening methods in cancer medicine.
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