Jacob Czech
BioTeam’s Jacob Czech contributed to a peer-reviewed research article published in Frontiers in Cellular Neuroscience, in collaboration with researchers from the National Eye Institute (NEI) at the National Institutes of Health (NIH) and partner institutions.
The publication, titled “Evaluation of retinal structure changes with AI-based OCT image segmentation for sodium iodate induced retinal degeneration,” demonstrates the application of artificial intelligence and advanced computational analysis to characterize structural changes in the retina associated with neurodegenerative disease.
Optical Coherence Tomography (OCT) produces high-resolution images of retinal layers, but analyzing these images, particularly in degenerative disease states, requires precise segmentation and quantitative analysis. In this study, researchers developed and applied AI-based segmentation models that accurately identify multiple retinal layers and quantify structural changes over time. These computational approaches enabled the detection of early biomarkers of retinal degeneration, including changes in photoreceptor reflectivity and progressive thinning of retinal layers.
BioTeam’s Contribution
As part of the National Eye Institute’s bioinformatics core, BioTeam scientific engineer Jacob Czech contributed directly to the development and application of computational tools for processing and analyzing complex OCT imaging datasets.
Jacob Czech’s contributions included:
- Supporting the development and implementation of AI-based image segmentation workflows.
- Enabling reproducible computational analysis of high-resolution OCT imaging data
- Collaborating with NIH researchers to ensure robust, scalable analysis of large imaging datasets
These contributions enabled automated segmentation and quantitative analysis of retinal layers, allowing researchers to detect subtle structural changes associated with retinal degeneration and identify potential early biomarkers of disease progression.
Scientific Impact
The study demonstrated that AI-based segmentation tools provide sensitive and accurate measurement of structural changes across retinal layers, including early indicators of photoreceptor degeneration and inflammation-related tissue changes. These findings support the use of advanced computational methods to improve detection, monitoring, and understanding of neurodegenerative diseases affecting the visual system.
BioTeam’s involvement in this work reflects our ongoing role as embedded scientific collaborators, supporting NIH researchers through the development of bioinformatics workflows, scientific software, and scalable computational infrastructure that accelerates discovery.
Jacob Czech’s Bio Link: HERE
