Insitro, Inc.

Surrozen Operating, Inc.

Shengjiang Tu

Zachary Phillips

Jeevaa Velayutham

Hervé Marie-Nelly

Yang Li

Wen-Chen Yeh

Randall J Brezski

Leonard Presta

Zhengjian Zhang

Hui Chen

Thomas Lopez

Herve Marie-nelly

The present disclosure relates generally to an autonomous cell imaging and modeling platform, and more specifically to machine-learning techniques for using microscopy imaging data to continuously study live biological cells. The autonomous cell imaging and modeling platform can be applied to evaluate various cellular processes, such as cellular differentiation, optimization of cell culture (e.g., in-plate cytometry), disease modeling, histopathology imaging, and genetic and chemical screening, using a dynamic universal imaging system. In some embodiments, the platform comprises a set of label-free computational imaging techniques, self-supervised learning models, and robotic devices configured in an autonomous imaging system to study positional and morphological characteristics in particular cellular substructures of a cell culture in an efficient and non-destructive manner over time.

Autonomous cell imaging and modeling system

The present disclosure relates generally to providing a cellular time-series imaging, modeling, and analysis platform, and more specifically to acquiring time-series image data and using various machine learning models to model and analyze subcellular particle movements and changes in cellular positional and morphological characteristics using unsupervised embedding generation. The platform can be applied to evaluate various cellular and subcellular processes by generating summary embeddings of time-series image data that enable analysis of dynamic cellular and subcellular processes over time (e.g., the movement of particles within a cell, neurites on developing neurons, etc.) for enhanced identification of differences between cell states (e.g., between sick and healthy cells) and generation of disease models which can be used to analyze the impact of various therapeutic interventions, among other improvements described throughout.

Cellular time-series imaging, modeling, and analysis system

The present disclosure provides liver-specific Wnt signal enhancing molecules, and related methods of using these molecules to increase Wnt signaling in liver tissues and treat liver diseases and disorders.

Liver-specific Wnt signal enhancing molecules and uses thereof

Growing community of inventors

Foster City, CA, United States of America

Shengjiang Tu