Adaptive Optics
Resources and Data
The NEI Clinical and Translational Imaging Unit provides custom software for handling, quantifying, and visualizing adaptive optics retinal imaging datasets.
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Cone Detection
A software package for identifying cone photoreceptors in non-confocal adaptive optics images such as split detection.
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Cone Detection ML
A software package for detecting cone photoreceptor cells from non-confocal split detection adaptive optics images using machine learning.
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Cone Segmentation
A software package for segmenting the boundaries of cone photoreceptors in non-confocal adaptive optics images such as split detection.
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Cone Segmentation ML
A software package for segmenting cone photoreceptor cells from non-confocal split detection adaptive optics images using machine learning.
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RPE Detection
RPE Detection is a software package for identifying retinal pigment epithelial (RPE) cells in adaptive optics images-enhanced indocyanine green (AO-ICG) images using machine learning.
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P-GAN
A software implementation for recovering the individual retinal pigment epithelial (RPE) cells from single noisy adaptive optics optical coherence tomography (AOOCT) images.
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RRTGAN
A software for enhancing the pixel resolution of cone photoreceptor cells from sparsely sampled adaptive optics optical coherence tomography (AOOCT) images.
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Stratified CycleGAN
A software for enhancing the visualization of fluorescently-labeled retinal pigment epithelial cells from late phase indocyanine green (ICG) images.
