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dc.contributor.authorHeub, Sarah
dc.contributor.authorNavaee, Fatemeh
dc.contributor.authorMigliozzi, Daniel
dc.contributor.authorLedroit, Diane
dc.contributor.authorBoder-Pasche, Stéphanie
dc.contributor.authorGoldowsky, Jonas
dc.contributor.authorVuille-dit-Bille, Emilie
dc.contributor.authorHofer, Joëlle
dc.contributor.authorGaiser, Carine
dc.contributor.authorRevol, Vincent
dc.contributor.authorSuter-Dick, Laura
dc.contributor.authorWeder, Gilles
dc.identifier.citationScientific Reports, volume 12, Article number: 9991 (2022)en_US
dc.description.abstractStandardised and high-throughput methods have been developed for the production and experimental handling of some 3D in vitro models. However, adapted analytical tools are still missing for scientists and researchers to fully exploit the potential of complex cellular models in pre-clinical drug testing and precision medicine. Histology is the established, cost-effective and gold standard method for structural and functional tissue analysis. However, standard histological processes are challenging and costly to apply to 3D cell models, as their small size often leads to poor alignment of samples, which lowers analysis throughput. This body of work proposes a new approach: HistoBrick facilitates histological processing of spheroids and organoids by enabling gel embedding of 3D cell models with precise coplanar alignment, parallel to the sectioning plane, thus minimising the loss of sample material. HistoBrick’s features are compatible with automation standards, potentially allowing automated sample transfer from a multi-well plate to the gel device. Moreover, HistoBrick’s technology was validated by demonstrating the alignment of HepG2 cultured spheroids measuring 150–200 μm in diameter with a height precision of ± 80 μm. HistoBrick allows up to 96 samples to be studied across minimal sections, paving the way towards high-throughput micro-histology.en_US
dc.titleCoplanar embedding of multiple 3D cell models in hydrogel towards high‑throughput micro‑histologyen_US
dc.type.csemresearchareasTools for Life Sciencesen_US

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