Tracking of Human Adipocyte Differentiation Process and Lipid Droplet Quantification Using Low-Coherence Holotomography

A 42-day label-free time-lapse study using low-coherence holotomography to monitor redifferentiation of dedifferentiated fat (DFAT) cells into mature adipocytes. Lipid droplets (LDs) were segmented by refractive index (RI) thresholding and validated against fluorescence LD staining, then quantified over the full differentiation timeline.

What's inside

- Schematic of the DFAT dedifferentiation/redifferentiation protocol and 42-day HT imaging timeline

- Time-lapse HT images (Day 1–42) showing progressive lipid droplet accumulation in the same field of view across 10 imaging areas

- RI-thresholding LD segmentation pipeline (TomoAnalysis "Adipocyte lipid droplet quantification"), with segmented-mask validation against LD fluorescence marker

- RI-to-concentration calibration curve (protein vs. lipid α coefficients) and quantification table (mean RI, concentration, volume, surface area, dry mass)

- Box-plot quantification of LD volume and dry mass showing a gradual increase across the 42-day maturation course

Keywords

adipogenesis lipid droplet quantification DFAT cells holotomography label-free imaging refractive index thresholding dry mass measurement adipocyte differentiation long-term time-lapse imaging TomoAnalysis live cell imaging

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