ArticlePLoS biology2019
Image-based analysis of living mammalian cells using label-free 3D refractive index maps reveals new organelle dynamics and dry mass flux.
Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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53 citing papers in PubMed, 96 citations in OpenAlex.
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- 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
- Dissecting Morphological and Functional Dynamics of Non-Tumorigenic and Triple-Negative Breast Cancer Cell Lines Using PCA and t-SNE Analysis.Cancer reports (Hoboken, N.J.) · 2025Article
- Holotomographic microscopy reveals label-free quantitative dynamics of endothelial cells during endothelialization.European journal of cell biology · 2025Article
- Compositionally unique mitochondria in filopodia support cellular migration.Current biology : CB · 2025Article
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- Consequences of platelet-educated cancer cells on the expression of inflammatory and metastatic glycoproteins.PloS one · 2025Article
- Article
- Rapid mechanical phenotyping of breast cancer cells based on stochastic intracellular fluctuations.iScience · 2024Article
- Single-cell laser emitting cytometry for label-free nucleolus fingerprinting.Nature communications · 2024Article
- Permittivity tensor imaging: modular label-free imaging of 3D dry mass and 3D orientation at high resolution.Nature methods · 2024Article
- Dynamic label-free analysis of SARS-CoV-2 infection reveals virus-induced subcellular remodeling.Nature communications · 2024Article
- The fatty liver disease-causing protein PNPLA3-I148M alters lipid droplet-Golgi dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Holotomography and atomic force microscopy: a powerful combination to enhance cancer, microbiology and nanotoxicology research.Discover nano · 2024Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Holo-tomographic microscopy (HTM) is a label-free microscopy method reporting the fine changes of a cell's refractive indices (RIs) in three dimensions at high spatial and temporal resolution. By combining HTM with epifluorescence, we demonstrate that mammalian cellular organelles such as lipid droplets (LDs) and mitochondria show specific RI 3D patterns. To go further, we developed a computer-vision strategy using FIJI, CellProfiler3 (CP3), and custom code that allows us to use the fine images obtained by HTM in quantitative approaches. We could observe the shape and dry mass dynamics of LDs, endocytic structures, and entire cells' division that have so far, to the best of our knowledge, been out of reach. We finally took advantage of the capacity of HTM to capture the motion of many organelles at the same time to report a multiorganelle spinning phenomenon and study its dynamic properties using pattern matching and homography analysis. This work demonstrates that HTM gives access to an uncharted field of biological dynamics and describes a unique set of simple computer-vision strategies that can be broadly used to quantify HTM images.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.