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Resource Catalog

Explore datasets, tools and resources across our research areas.

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Data and code for Hasantash et al, Paradoxical impact of memory on color appearance of faces, Nature Communications (2019).
Look up gene expression by retina cell type across various studies, publications, and four species.
A software package for segmenting the boundaries of 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.
A software implementation for recovering the individual retinal pigment epithelial (RPE) cells from single noisy adaptive optics optical coherence tomography (AOOCT) images. This software was primarily developed by Vineeta Das and Johnny Tam, with research support from 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.
A software package for detecting cone photoreceptor cells from non-confocal split detection adaptive optics images using machine learning.