ArticleJournal of lipid research2018
High-throughput, nonperturbing quantification of lipid droplets with digital holographic microscopy.
Article in Journal of lipid research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 26 citations in OpenAlex.
- MarrowCellDLD: a microfluidic method for label-free retrieval of fragile bone marrow-derived cells.Scientific reports · 2023Article
- How to follow lipid droplets dynamics during adipocyte metabolism.Journal of cellular physiology · 2022Article
- Raman microspectroscopy reveals unsaturation heterogeneity at the lipid droplet level and validates anFrontiers in endocrinology · 2022Article
- Quantitative spectrofluorometric assay detecting nuclear condensation and fragmentation in intact cells.Scientific reports · 2021Article
- Automated lipid droplet quantification system for phenotypic analysis of adipocytes using CellProfiler.Toxicology mechanisms and methods · 2020Article
- Reporting Guidelines, Review of Methodological Standards, and Challenges Toward Harmonization in Bone Marrow Adiposity Research. Report of the Methodologies Working Group of the International Bone Marrow Adiposity Society.Frontiers in endocrinology · 2020Review
- Lipid droplet quantification based on iterative image processing.Journal of lipid research · 2019Article
- Brief Report From the 3rd International Meeting on Bone Marrow Adiposity (BMA 2017).Frontiers in endocrinology · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In vitro differentiating adipocytes are sensitive to liquid manipulations and have the tendency to float. Assessing adipocyte differentiation using current microscopy techniques involves cell staining and washing, while using flow cytometry involves cell retrieval in suspension. These methods induce biases, are difficult to reproduce, and involve tedious optimizations. In this study, we present digital holographic microscopy (DHM) as a label-free, nonperturbing means to quantify lipid droplets in differentiating adipocytes in a robust medium- to high-throughput manner. Taking advantage of the high refractive index of lipid droplets, DHM can assess the production of intracellular lipid droplets by differences in phase shift in a quantitative manner. Adipocytic differentiation, combined with other morphological features including cell confluence and cell death, was tracked over 6 days in live OP9 mesenchymal stromal cells. We compared DHM with other currently available methods of lipid droplet quantification and demonstrated its robustness with modulators of adipocytic differentiation in a dose-responsive manner. This study suggests DHM as a novel marker-free nonperturbing method to study lipid droplet accumulation and may be envisioned for drug screens and mechanistic studies on adipocytic differentiation.
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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.