Sciome will present two scientific posters at the Microphysiological Systems (MPS) World Summit, taking place May 26–29, 2026, in Washington, DC, highlighting the company’s latest advances in AI-enabled image analysis…
Our poster titled “Towards Automated Deep Learning Classification of Phase-contrast images from High-throughput Screening Assays” was selected as a Top 10 Abstracts at the Society of Toxicology’s 61st Annual Meeting,…
Full zebrafish imaging pipeline – from raw multi-well plates to validated phenotypic calls – enabling large-scale developmental toxicology at speed.
Intelligent morphological assessment for cell culture systems. Regional prediction maps reveal sub-well patterns invisible to manual review.
New species, a new assay endpoint, a new image modality – we build on the same AI pipeline behind FINS, CellVision, and SpheroidVision instead of starting from scratch.
Automated high-throughput analysis of 2D/3D spheroids and organoids. Captures morphology, growth dynamics, and treatment responses at scale.