M
Michael R. Lamprecht
Researcher at Columbia University
Publications - 14
Citations - 13495
Michael R. Lamprecht is an academic researcher from Columbia University. The author has contributed to research in topics: Ultrasound & Neuroprotection. The author has an hindex of 10, co-authored 14 publications receiving 8834 citations. Previous affiliations of Michael R. Lamprecht include Massachusetts Institute of Technology.
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Journal ArticleDOI
Ferroptosis: An Iron-Dependent Form of Nonapoptotic Cell Death
Scott J. Dixon,Kathryn M. Lemberg,Michael R. Lamprecht,Rachid Skouta,Eleina M. Zaitsev,Caroline E Gleason,Darpan N Patel,Andras J. Bauer,Alexandra M. Cantley,Wan Seok Yang,Barclay Morrison,Brent R. Stockwell,Brent R. Stockwell +12 more
TL;DR: This paper identified the small molecule ferrostatin-1 as a potent inhibitor of ferroptosis in cancer cells and glutamate-induced cell death in organotypic rat brain slices, suggesting similarities between these two processes.
Journal ArticleDOI
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
Anne E. Carpenter,Thouis R. Jones,Michael R. Lamprecht,Colin Clarke,In Han Kang,Ola Friman,David A. Guertin,Joo Han Chang,Robert A. Lindquist,Jason Moffat,Polina Golland,David M. Sabatini +11 more
TL;DR: The first free, open-source system designed for flexible, high-throughput cell image analysis, CellProfiler is described, which can address a variety of biological questions quantitatively.
Journal ArticleDOI
CellProfiler: free, versatile software for automated biological image analysis.
TL;DR: The use of the open-source software, CellProfiler, to automatically identify and measure a variety of biological objects in images is described, enabling biologists to comprehensively and quantitatively address many questions that previously would have required custom programming.
Journal ArticleDOI
Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
Thouis R. Jones,Thouis R. Jones,Anne E. Carpenter,Anne E. Carpenter,Michael R. Lamprecht,Jason Moffat,Serena J. Silver,Jennifer K. Grenier,Adam B. Castoreno,Ulrike S. Eggert,David E. Root,Polina Golland,David M. Sabatini,David M. Sabatini +13 more
TL;DR: A supervised machine learning approach that uses iterative feedback to readily score multiple subtle and complex morphological phenotypes in high-throughput, image-based screens is presented.
Journal ArticleDOI
Bioorthogonal chemical imaging of metabolic activities in live mammalian hippocampal tissues with stimulated Raman scattering
TL;DR: Bioorthogonal chemical imaging of DNA, RNA, protein and lipid metabolism in live rat brain hippocampal tissues is demonstrated by coupling stimulated Raman scattering microscopy with integrated deuterium and alkyne labeling and paves the way for the study of complex metabolic profiles in live brain tissue under both physiological and pathological conditions with single-cell resolution and minimal perturbation.