YNOW 2026

Catch the InSphero Team at YNOW 2026!

Join us at YNOW2026, a Yokogawa Users Conference, in New Orleans, where researchers, innovators, and technology leaders are coming together to explore the future of human-relevant biology, advanced imaging, and translational discovery.

We’re looking forward to connecting with the community around how physiological, reproducible, and scalable 3D models, combined with powerful imaging and analysis, can capture complex biology while delivering the consistency and throughput needed for drug discovery and safety testing.

Don’t miss the opportunity to exchange perspectives with experts across New Approach Methodologies (NAMs), organoid biology, microphysiological systems, and high-content analysis, and discover how these complementary technologies can strengthen your own research workflows.

Explore all our activities taking place during YNOW2026 from Tuesday, September 1st to Thursday, September 3rd at the Hilton New Orleans Riverside. See you in New Orleans!

 

Meet our Team at YNOW 2026

Lizzy Crist, PhD

Business Development Manager, U.S. Northeast

Scientific Talk at YNOW 2026

Unlocking Information from 3D In Vitro Models using High Content Imaging

Date: Wednesday, September 2nd, 2026

Time: 2:00-2:30 pm

Location: Churchill D, 2nd Floor

Lizzy Crist, PhD

Business Development Manager, U.S. Northeast

Poster Presentation at YNOW 2026

Non-destructive multiplexed imaging of 3D liver microtissues for multi-modal DILI assessment ​

Date: September 1st-3rd 

Location: Hilton New Orleans Riverside

Lizzy Crist, PhD

Business Development Manager, U.S. Northeast

YNOW 2026 Resources

Studying Fibrosis using 3D InSight Human MASH Microtissues Leveraging ZEISS Lattice Lightsheet 7 for 3D High-Content Analysis
Scalable Whole-Plate Calcium Imaging of Human iPSC-Derived Neural Spheroids for Drug Screening and Neurotoxicity Assessment
Non-Destructive Multiplexed Imaging of 3D Liver Microtissues for Multi-Modal DILI Assessment
Gri3D® Hydrogel Microcavity Plates
Gri3D® One Platform – Endless Possibilities
Selection Guide Akura™/Gri3D®
Multiparameter-based assays in 3D human liver microtissues: Towards multiplexed in vitro NAMs for drug-induced liver injury (DILI) assessment
Machine learning-based, label-free detection of anti-fibrotic effects in a 3D retinal fibrosis model using bright-field imaging
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