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AI-Powered Quality Control for Blood-Brain Barrier-on-Chip Studies

Jun 2, 2026 | IKOSA AI, Posters

The Lumen Standardization App on the IKOSA platform brings AI-powered quality control to blood-brain barrier (BBB) organ-on-chip research. Developed for the SynBBB™ platform, the application uses deep learning to analyze phase-contrast images and generate a Lumen...

Automated Morphological Profiling via Deep Learning-Based Segmentation for High-Throughput Phenotypic Screening

Apr 22, 2026 | Cell Painting, Publications, Use case

This study presents a fully automated workflow for morphological profiling of microscopy images using deep learning–based segmentation built on the IKOSA platform. The system was developed to reduce the manual setup and technical expertise typically required in...

In Vitro and In Ovo CAM Model Evaluation of Periosteum-Derived Micrografts

Apr 8, 2026 | CAM, IKOSA AI, Publications

Periosteum-derived micrografts show strong potential to enhance vascularization when combined with commonly used bone substitute materials. In this study, micrografts containing mesenchymal stem cell-like cell populations were evaluated in the chorioallantoic membrane...

Bridging imaging-based in vitro methods from biomedical research to regulatory toxicology

Feb 18, 2025 | IKOSA AI, Publications

This article published in the Archives of Toxicology, addresses the integration of advanced imaging techniques into regulatory toxicology frameworks. It highlights the increasing use of imaging technologies in biomedical research and experimental toxicology to obtain...

AI Image Analysis and Other Emergent Technologies to Support Adipose Tissue Studies

Feb 3, 2025 | IKOSA AI, Publications

The study highlights the growing interest in adipose tissue as an endocrine organ and its role in conditions like obesity, diabetes, cardiovascular disease, and cancer. Advanced technologies such as 3D cell cultures and Organ-on-a-Chip models are improving in vitro...

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