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Advanced filters: Author: Assaf Zaritsky Clear advanced filters

  • Dry cell biologists, who bridge computer science and cell biology, should have a pivotal role in driving effective team science, says Assaf Zaritsky.

    • Assaf Zaritsky
    Comments & Opinion
    Nature
    Volume: 535, P: 325

  • Arrays of silicon nanoneedles are used to generate molecular replicas of live brain tissue for longitudinal spatial lipidomic classification via desorption electrospray ionization mass spectrometry imaging of gliomas and to monitor the responses of the tumours to chemotherapy.

    • Chenlei Gu
    • Davide Alessandro Martella
    • Ciro Chiappini
    ResearchOpen Access
    Nature Nanotechnology
    Volume: 20, P: 1262-1272

  • Imaging technologies drive discovery in cell biology. Innovations in microscopy hardware, imaging methods and computational analysis of large-scale, complex datasets can increase imaging resolution, definition and allow access to new biology. We asked experts at the leading edge of biological imaging what they are most excited about when it comes to microscopy in cell biology and what challenges need to be overcome to reach these goals.

    • Brenda Andrews
    • Jae-Byum Chang
    • Assaf Zaritsky
    Reviews
    Nature Cell Biology
    Volume: 24, P: 1180-1185

  • Identifying complex patterns through deep learning often comes at the cost of interpretability. Focusing on the interpretation of classification of in vitro fertilization embryos, the authors present DISCOVER, an approach that enables visual interpretability of image-based classification models.

    • Oded Rotem
    • Tamar Schwartz
    • Assaf Zaritsky
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-19

  • The success of deep learning in analyzing bioimages comes at the expense of biologically meaningful interpretations. We review the state of the art of explainable artificial intelligence (XAI) in bioimaging and discuss its potential in hypothesis generation and data-driven discovery.

    • Oded Rotem
    • Assaf Zaritsky
    Comments & Opinion
    Nature Methods
    Volume: 21, P: 1394-1397

  • A computational method quantifies long-range cell-cell force transmission through the extracellular matrix by correlating ECM remodeling fluctuations in simulations and live 3D imaging and identifies unique signatures of communicating cell pairs.

    • Assaf Nahum
    • Yoni Koren
    • Assaf Zaritsky
    ResearchOpen Access
    Communications Biology
    Volume: 6, P: 1-18