Systems and methods for processing, storage and retrieval of ocular images

A method of detecting an ocular disease in a subject comprising:

• a. administering systemically to the subject a fluorescent agent, wherein the fluorescent agent is internalized by a cell from the subject having the ocular disease, and wherein the internalized agent produces a fluorescent emission within the cell, wherein the fluorescent emission within the cell is captured by an imaging modality, wherein the imaging modality comprises delayed near-infrared analysis (DNIRA), thereby producing an image data;
• b. analyzing the fluorescent emission using an algorithm;
• wherein the algorithm comprises:
• i. detecting a pattern of fluorescence from the image data from the subject;
• ii. comparing the pattern of fluorescence from the image data from the subject to a pattern of fluorescence from a control subject;
• and
• iii. detecting the ocular disease if the image data from the subject has a greater or lesser degree of fluorescence than the image data from the control subject,
• wherein the algorithm further comprises segmenting the image data based on one or more features to form a segmented image data,
• the method further comprises comparing the segmented image data to a second imaging modality,
• the second imaging modality is selected from infra-red reflectance (IR), confocal scanning laser ophthalmoscopy (cSLO), fundus autofluorescence (FAF), color fundus photography (CFP), optical coherence tomography (OCT), and OCT-angiography,
• the comparing the segmented image data comprises a delta analysis of the segmented image data, wherein the delta analysis comprises generating subtracted ocular images representative of changes between the image data from the control subject and the image data from the subject, and
• the delta analysis comprises storing the subtracted ocular images in a database.