Resource Catalog
Explore datasets, tools and resources across our research areas.
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A software package for identifying cone photoreceptors in non-confocal adaptive optics images such as split detection. This software was primarily developed by Jianfei Liu, Andrei Volkov, and Johnny Tam, with research support from the Intramural Research Program of the National Institutes of Health, National Eye Institute. Additional details about the algorithms used can be found in the reference listed below.
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Probe the relatedness and biological processes between the cornea, retina, RPE (choroid), and the rest of the human tissues by using a fully integrated dataset with differential expression, clustering, and GO term enrichment tools. -
The MEGco data set includes MEG responses in 18 participants to 8 color-calibrated stimuli and the color words “blue” and “green”, as described in the guide . Details of this data set are provided in Rosenthal et al (2020) and Hermann et al (Biorxiv 2020).