Author

Arpit Tandon

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Open access Oct 2026

A self-supervised foundation model for large-scale zebrafish image analysis.

High-throughput zebrafish screening generates large volumes of imaging data, creating a need for scalable computational methods that reduce dependence on manual annotation and repeated task-specific model development. In this study, we develop a self-supervised foundation model for zebrafish image analysis pretrained o...

A. B. Oktay, Arpit Tandon, Brian E. Howard et al. · SLAS technology · 0 citations

Oct 2026

Systematic evaluation of deep learning design choices for image-based organ-on-chip quality assessment.

Label-free brightfield microscopy is widely used to monitor organ-on-chip (OOC) cultures, but manual quality assessment can be subjective, labor-intensive, and difficult to standardize across biological conditions. Using a public dataset of 3072 microscopy images from six cell lines, we systematically evaluated four qu...

A. B. Oktay, Arpit Tandon, Brian E. Howard et al. · Lab on a Chip · 0 citations