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Showing 1–5 of 5 results
Advanced filters: Author: Hamdah S. Abbasi Clear advanced filters

  • A challenge with single-cell resolution methods is that cell heterogeneity should be captured while allowing for comparisons between populations. Here the authors fuse information from the dispersion profiles with the average profiles at the level of profiles’ similarity matrices for single cell imaging data.

    • Mohammad H. Rohban
    • Hamdah S. Abbasi
    • Anne E. Carpenter
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-6

  • Pycytominer is a user-friendly, open-source Python package that carries out key bioinformatics steps in image-based profiling.

    • Erik Serrano
    • Srinivas Niranj Chandrasekaran
    • Gregory P. Way
    Research
    Nature Methods
    Volume: 22, P: 677-680

  • The CPJUMP1 Resource comprises Cell Painting images and profiles of 75 million cells treated with hundreds of chemical and genetic perturbations. The dataset enables exploration of their relationships and lays the foundation for the development of advanced methods to match perturbations.

    • Srinivas Niranj Chandrasekaran
    • Beth A. Cimini
    • Anne E. Carpenter
    ResearchOpen Access
    Nature Methods
    Volume: 21, P: 1114-1121

  • We provide an updated protocol for image-based profiling with Cell Painting. A detailed procedure, with standardized conditions for the assay, is presented, along with a comprehensive description of parameters to be considered when optimizing the assay.

    • Beth A. Cimini
    • Srinivas Niranj Chandrasekaran
    • Anne E. Carpenter
    Protocols
    Nature Protocols
    Volume: 18, P: 1981-2013

  • Tomov et al. utilize DNA-PRISM to allow for multiplexed imaging of cultured cells using antibodies modified with oligonucleotide probes. The differentiation of iPSCs to cortical and motor neurons is characterized in model cultures, relevant for use in disease research and drug screening.

    • Martin L. Tomov
    • Alison O’Neil
    • Mark Bathe
    ResearchOpen Access
    Communications Biology
    Volume: 4, P: 1-9