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Showing 1–7 of 7 results
Advanced filters: Author: Ajit J. Nirmal Clear advanced filters

  • Confocal microscopy enables high-resolution, high-plex 3D cyclic immunofluorescence of 30- to 50-µm-thick tissue sections. The approach allows for rich phenotypic assessments of intact cells and intercellular interactions with subcellular resolution.

    • Clarence Yapp
    • Ajit J. Nirmal
    • Peter K. Sorger
    ResearchOpen Access
    Nature Methods
    Volume: 22, P: 2180-2193

  • Twelve early-career investigators share their thoughts on the experiences they had starting their laboratories in 2023 and reflect on the opportunities they seized and the challenges they faced.

    • Joanna Achinger-Kawecka
    • Santiago Correa
    • Caroline J. Watson
    Reviews
    Nature Cancer
    Volume: 4, P: 1630-1635

  • In a phase 1b/2a trial, the combination of the oral PI3K inhibitor duvelisib and romidepsin had limited toxicity and exhibited encouraging clinical activity in patients with relapsed or refractory T cell lymphoma, suggesting an approach whereby PI3K inhibitors can be safely used in this patient population.

    • Steven M. Horwitz
    • Ajit J. Nirmal
    • Santosha A. Vardhana
    Research
    Nature Medicine
    Volume: 30, P: 2517-2527

  • It is currently difficult to perform accurate single-cell assays in 384-well plates. Here the authors report Dye Drop which uses sequential density displacement and microscopy for multi-step assays on cells, and use this to collect single-cell dose-response data for small molecules in breast cancer cells.

    • Caitlin E. Mills
    • Kartik Subramanian
    • Peter K. Sorger
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-18

  • MCMICRO is a modular and open-source computational pipeline for transforming highly multiplexed whole-slide images of tissues into single-cell data. MCMICRO is versatile and can be used with CODEX, mxIF, CyCIF, mIHC and H&E staining data.

    • Denis Schapiro
    • Artem Sokolov
    • Peter K. Sorger
    ResearchOpen Access
    Nature Methods
    Volume: 19, P: 311-315

  • The imminent release of tissue atlases combining multichannel microscopy with single-cell sequencing and other omics data from normal and diseased specimens creates an urgent need for data and metadata standards to guide data deposition, curation and release. We describe a Minimum Information about Highly Multiplexed Tissue Imaging (MITI) standard that applies best practices developed for genomics and for other microscopy data to highly multiplexed tissue images and traditional histology.

    • Denis Schapiro
    • Clarence Yapp
    • Peter K. Sorger
    Comments & Opinion
    Nature Methods
    Volume: 19, P: 262-267