ArticleNature communications2019
Label-free spatio-temporal monitoring of cytosolic mass, osmolarity, and volume in living cells.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 36 citations in OpenAlex.
- Cells prioritize the regulation of cell mass density.Science advances · 2025Article
- Review
- The "weaken-fill-repair" model for cell budding: Linking cell wall biosynthesis with mechanics.iScience · 2024Article
- Intracellular dry mass density increases under growth-induced pressure.Open research Europe · 2024Article
- Hybrid machine-learning framework for volumetric segmentation and quantification of vacuoles in individual yeast cells using holotomography.Biomedical optics express · 2023Article
- Dry mass photometry of single bacteria using quantitative wavefront microscopy.Biophysical journal · 2023Article
- Viewing life without labels under optical microscopes.Communications biology · 2023Review
- Biomass measurements of single neuritesBiomedical optics express · 2022Article
- COVID-19 screening with digital holographic microscopy using intra-patient probability functions of spatio-temporal bio-optical attributes.Biomedical optics express · 2022Article
- Label-free viability assay using in-line holographic video microscopy.Scientific reports · 2022Article
- Control of nuclear size by osmotic forces ineLife · 2022Article
- Quantitative imaging of Caenorhabditis elegans dauer larvae during cryptobiotic transition.Biophysical journal · 2022Article
- Fast and Accurate Nanoparticle Characterization Using Deep-Learning-Enhanced Off-Axis Holography.ACS nano · 2021Article
- Evidence of Skin Barrier Damage by Cyclic Siloxanes (Silicones)-Using Digital Holographic Microscopy.International journal of molecular sciences · 2020Article
- Deep learning-based cell identification and disease diagnosis using spatio-temporal cellular dynamics in compact digital holographic microscopy.Biomedical optics express · 2020Article
- Image-based analysis of living mammalian cells using label-free 3D refractive index maps reveals new organelle dynamics and dry mass flux.PLoS biology · 2019Article
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
Microorganisms adapt their biophysical properties in response to changes in their local environment. However, quantifying these changes at the single-cell level has only recently become possible, largely relying on fluorescent labeling strategies. In this work, we utilize yeast (Saccharomyces cerevisiae) to demonstrate label-free quantification of changes in both intracellular osmolarity and macromolecular concentration in response to changes in the local environment. By combining a digital holographic microscope with a millifluidic chip, the temporal response of cellular water flux was successfully isolated from the rate of production of higher molecular weight compounds, in addition to identifying the produced compounds in terms of the product of their refractive index increment [Formula: see text] and molar mass. The ability to identify, quantify and temporally resolve multiple biophysical processes in living cells at the single cell level offers a crucial complement to label-based strategies, suggesting broad applicability in studies of a wide-range of cellular processes.
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Registered trials
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.