Purpose: Manual extraction of spectral domain optical coherence tomography (SD-OCT) reports is time and resource intensive. This study aimed to develop an optical character recognition (OCR) algorithm for automated data extraction from Cirrus SD-OCT macular cube reports.
Methods: SD-OCT monocular macular cube reports (n = 675) were randomly selected from a single-center database of patients from 2020 to 2023.
Both academic and enterprise software solutions exist for designing CRISPR targets. They offer advantages when designing guide RNAs (gRNAs) but often focus on a select number of model organisms. Those that offer a wide variety of organisms can be limited in support of alternative endonucleases and downstream analyses such as multitargeting and population analyses to interrogate a microbiome.
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