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...
IKOSA AI
In Vitro and In Ovo CAM Model Evaluation of Periosteum-Derived Micrografts
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...
SynBBB™: AI/ML-Enhanced Standardization and Predictive Monitoring of Human-Relevant Blood-Brain Barrier-on-Chip for CNS Drug Discovery
The blood-brain barrier (BBB) is a critical determinant of central nervous system (CNS) drug transport, safety, and efficacy. Conventional models often fail to capture its complexity, leading to translational gaps. SynVivo’s SynBBB™ platform recreates physiologically...
Bridging imaging-based in vitro methods from biomedical research to regulatory toxicology
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
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...
AI-Enhanced Blood Cell Recognition and Analysis: Advancing Traditional Microscopy with the Web-Based Platform IKOSA
Traditional pathology utilizes stained blood smears viewed through microscopy, a technique still prevalent despite technological advancements. Typically, manual human assessment accompanies automated methods, maintaining simplicity but lacking comprehensive cell...
AI-Supported Quality Assurance in Stem Cell Bioprocessing: An Interview with Dr. Klaus Graumann
Welcome everybody to our interview. The topic will be “AI-supported quality assurance in stem cell bioprocessing”. Elisa and I are very excited to be speaking with Klaus Graumann today about the technological innovations and ongoing initiatives within his...
ROI, Annotation, Labels: Mastering Image Annotation in Pathology
Microscopy image annotation and pathology annotation, in particular, are tasks that require a lot of attention to detail. To be able to train Deep Learning Computer Vision Applications, which perform advanced tasks such as detection, segmentation, and classification...
How to Successfully Conduct Morphological Cell Profiling With The Cell Painting Assay
The Cell Painting Assay provides researchers with a powerful tool for morphological cell profiling, enabling investigations into cellular behavior and the effect of therapeutic compounds on cellular structures. In this article, we explore the principles and...
From Microscopic Patterns to Diagnostic Insights: Exploring the New Frontier of Blood and Inflammation with Prof. Johannes Schmid
Join us, as we embark on a captivating journey delving into the groundbreaking work and ongoing projects of Prof. Johannes Schmid from the Medical University of Vienna. In this interview, we shine a spotlight on the remarkable realm of "Multifactorial Fluorescence...
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