Advanced Cell Models – Multimedia

This application note demonstrates how next-generation confocal imaging technology combined with AI-powered analysis tools enables researchers to capture high-quality images from 3D organoids.

This application note highlights a mature 3D organoid model that combines cerebral organoids with tau preformed fibrils to support mechanistic research and therapeutic screening in a human-relevant setting.

This eBook explores the main challenges and key considerations in 3D biology and spatial profiling, highlighting how the latest solutions are improving the relevance of models for better drug discovery.

This infographic highlights the core characteristics of five widely used culture types, helping you assess which platforms meet your biological and operational needs.

This handbook highlights a range of normal and tumor organoids and outlines the premium products offered by Sino Biological to support customers in the crucial steps of organoid culture, differentiation, analysis, and identification

This content introduces a plenty of high quality cytokines for organoid culture, versatile applications of cytokines in organoid culture, and recommended cytokines for organoid in Sion Biological

In this Teach Me In 10, Laura Skerlos, Senior Scientist at Sartorius, explores tools for labeling small EVs and monitoring live-cell uptake. Learn about MSC-derived EV purification, real-time uptake assays, and efficient analysis methods for EV inter

Dr. Yassen Abbas, Lead Scientist at CN Bio, discusses his innovative research on a dual-organ system that combines primary jejunum and hepatocyte cultures to enhance drug discovery and development.

In this episode, we are joined by Peter Hsueh, Marketing Product Manager at ACROBiosystems, who discusses innovative screening strategies. He reveals how these strategies are transforming drug development paving the way for breakthroughs in medicine.

This whitepaper explores groundbreaking organ-on-a-chip technology and 3D tissue modeling that is closing the translational gap in cancer drug discovery.