Primary angle-closed diseases recognition through artificial intelligence-based anterior segment-optical coherence tomography imaging.

Purpose: In this study, artificial intelligence (AI) was used to deeply learn the classification of the anterior segment-Optical Coherence Tomography (AS-OCT) images. This AI systems automatically analyzed the angular structure of the AS-OCT images and automatically classified anterior chamber angle. It would improve the efficiency of AS-OCT image analysis.

Method and system design for spectral imaging based on dual micro-lens array field-of-view segmentation.

The function of a mask in the integral field imaging spectrometer (IFIS), which segments image and samples, leads to the drawback of low spectral energy transmittance. Here, we improve field-of-view segmentation method and propose a dual micro-lens array imaging spectrometer (DMAIS). DMAIS comprises a projection lens (PL), a segmentation collimation module (SCM), and a telecentric lens (TL).