Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Marjolein Oostrom"'
Autor:
Marjolein Oostrom, Michael A Muniak, Rogene M Eichler West, Sarah Akers, Paritosh Pande, Moses Obiri, Wei Wang, Kasey Bowyer, Zhuhao Wu, Lisa M Bramer, Tianyi Mao, Bobbie Jo M Webb-Robertson
Publikováno v:
PLoS ONE, Vol 19, Iss 3, p e0293856 (2024)
Light-sheet microscopy has made possible the 3D imaging of both fixed and live biological tissue, with samples as large as the entire mouse brain. However, segmentation and quantification of that data remains a time-consuming manual undertaking. Mach
Externí odkaz:
https://doaj.org/article/89c2b715a19448aeb61a8a9ccb5ee256
Publikováno v:
Protein Science. 32
Autor:
Matthew Olszta, Derek Hopkins, Kevin R Fiedler, Marjolein Oostrom, Sarah Akers, Steven R Spurgeon
Publikováno v:
Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada.
Artificial intelligence (AI) promises to reshape scientific inquiry and enable breakthrough discoveries in areas such as energy storage, quantum computing, and biomedicine. Scanning transmission electron microscopy (STEM), a cornerstone of the study
Autor:
Matthew Olszta, Kevin Fiedler, Derek Hopkins, Kayla Yano, Christina Doty, Marjolein Oostrom, Sarah Akers, Steven R Spurgeon
Publikováno v:
Microscopy and Microanalysis. 28:2920-2921
Autor:
Sarah Akers, Marjolein Oostrom, Christina Doty, Matthew Olstza, Derek Hopkins, Kevin Fiedler, Steven R Spurgeon
Publikováno v:
Microscopy and Microanalysis. 28:2988-2989
Autor:
Christina Doty, Shaun Gallagher, Wenqi Cui, Wenya Chen, Shweta Bhushan, Marjolein Oostrom, Sarah Akers, Steven R. Spurgeon
Publikováno v:
Computational Materials Science. 203:111121
The recent growth in data volumes produced by modern electron microscopes requires rapid, scalable, and flexible approaches to image segmentation and analysis. Few-shot machine learning, which can richly classify images from a handful of user-provide