Week of 2026-W28 ā curated scientific publications using the Thermo Scientific CellInsight CX7 high-content analysis platform. Plankton & Zoom does not host paywalled content; links point to publishers and open repositories.
A 2024 PLOS One study that profiled small-molecule effects on HCT116 colorectal cancer cells using the Cell Painting assay. High-content images were acquired and analysed to generate phenotypic fingerprints, demonstrating how CellInsight-class systems support compound mode-of-action discovery in oncology.
A 2024 PLOS One methods paper presenting an integrated platform for automated high-content screening of 3D tumour spheroids at subcellular resolution. The workflow combines confocal imaging with automated image analysis, relevant to labs running 3D phenotypic screens on CellInsight CX7 LZR systems.
A 2024 open-access study that fuses Cell Painting image data with compound structural information via a Swin transformer to predict kinase-inhibitor mechanism of action. It showcases the analytical depth of Cell Painting datasets generated on high-content platforms such as the CellInsight CX7.
A 2025 Angewandte Chemie paper that uses image-based high-content screening with clickable chemical probes to discover inhibitors of the XPB helicase. The work illustrates how high-content platforms enable direct target-engagement readouts alongside morphological phenotyping in drug discovery.
A 2024 Journal of Experimental & Clinical Cancer Research study that screened FDA-approved drugs using high-content imaging to identify compounds that boost CAR T cell activity. The approach shows the value of high-content platforms in immuno-oncology target discovery and combination-therapy screening.
A 2024 Pharmaceutical Research paper applying high-content image analysis to map macrophage responses to a broad panel of drugs. The study demonstrates multi-parametric phenotyping of primary and cell-line macrophages, a typical CellInsight CX7 use case in drug safety and immunology.
A 2024 Biological Imaging / Cambridge Core study showing that transferring Cell Painting phenotypic models between assays increases screening hit rates. The paper underlines how high-content platforms generate reusable morphological fingerprints that improve drug-discovery efficiency.
A 2026 Journal of Imaging methods paper on automated morphological profiling with deep-learning segmentation for high-throughput phenotypic screens. The work aligns directly with CellInsight CX7 workflows where automated segmentation and feature extraction are central to HCA output.