Lisa M. Schaefbauer

ORCID: 0000-0003-0443-268X
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About
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Research Areas
  • Cell Image Analysis Techniques
  • Genetics, Bioinformatics, and Biomedical Research
  • Advanced Fluorescence Microscopy Techniques
  • Scientific Computing and Data Management
  • Cellular Mechanics and Interactions
  • Single-cell and spatial transcriptomics
  • 3D Printing in Biomedical Research

Allen Institute for Cell Science
2020-2023

Understanding how a subset of expressed genes dictates cellular phenotype is considerable challenge owing to the large numbers molecules involved, their combinatorics and plethora behaviours that they determine

10.1038/s41586-022-05563-7 article EN cc-by Nature 2023-01-04

Summary Despite the intimate link between cell organization and function, principles underlying intracellular relation organization, gene expression phenotype are not well understood. We address this by creating a benchmark for mean natural range of cell-to-cell variation. This can be used comparison to other normal or abnormal states. To do this, we developed reproducible microscope imaging pipeline generate high-quality dataset 3D, high-resolution images over 200,000 live cells from 25...

10.1101/2020.12.08.415562 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-12-10
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