A new study published in the journal Cell Systems on November 20, 2019, reports the use of machine learning to help form complex cell architectures from pluripotent stem cells, a sophisticated ...
Imagine predicting the exact finishing order of the Kentucky Derby from a still photograph taken 10 seconds into the race. That challenge pales in comparison to what researchers face when trying to ...
If a cell image is worth a thousand words, drug hunters haven’t been paying attention to most of these. Despite the impressive capabilities of high-content imaging systems to peer into the cell, ...
SAN DIEGO & SINGAPORE--(BUSINESS WIRE)--ImmunoScape, a biotechnology company focused on next-generation immunotherapies, published new peer-reviewed research that demonstrates the use of machine ...
Researchers at the Allen Institute have used machine learning to train computers to see parts of the cell the human eye cannot easily distinguish. Using 3D images of fluorescently labeled cells, the ...
The computational biologist Anne Carpenter creates software that brings the power of machine learning to researchers seeking answers in mountains of cell images. You can’t judge a book by its cover, ...
New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of living cells at single-cell resolution. (Nanowerk Spotlight) Cells are not ...
Solar cells today can't generate electricity as cheaply as fossil fuel-fired generators -- but stay tuned. New developments in cell fabrication and manufacturing techniques may start to close the cost ...
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