Scientists used a compact AI model to predict how visual cortex neurons respond to images, revealing hidden patterns in perception.
Photonics is gaining momentum as a platform for high-speed AI computing. Researchers in Singapore have demonstrated a passive, ultrafast, and integration-ready all-optical nonlinear activation ...
3D morphological analysis of neurons often requires using different imaging modalities, capturing multiple types of neurons and inspecting neurons in a range of densities. These complexities make it ...
Dr. Shuiwang Ji, a professor in the Department of Computer Science and Engineering at Texas A&M University, is part of a collaborative research community that recently had its paper titled "BigNeuron: ...
BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.
Leica Microsystems, a leader in microscopy and scientific instrumentation, has released version 12 of Aivia, its flagship AI image analysis software. Aivia 12 incorporates the Cellpose deep learning ...
Three new neural network-based tools enable fast, accurate alignment and annotation of images even in very wiggly subjects.
3D morphological analysis of neurons often requires using different imaging modalities, capturing multiple types of neurons and inspecting neurons in a range of densities. These complexities make it ...
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