An Exploration Of Time-Dependent Phenotypic Changes For Enhanced Drug Discovery

Here is a poster presented at SBI2 in collaboration with: Mayo Clinic. This poster reveals how NucleoLIVE™, our non-toxic biocompatible nuclear probe, is designed to study long-term changes of cell populations. It addresses the limitations...

ELRIG 2024 Poster - Live Cell Painting: An exploration of time-dependent phenotypic changes for enhanced drug discovery

  Explore cellular phenotypic profiling by combining live-cell imaging and cell painting techniques, leveraging ChromaLIVE non-toxic dye. This innovative approach applies cell painting technology in live cells to measure dynamic phenotypic changes, overcoming the need...

  Explore this poster presented at SBI2 by the Broad Institute of MIT and Harvard, a project where Saguaro Biosciences contributed the dyes and guidance for their use. This study focuses on the "Evaluation of...

  Here's what ChromaLIVE can be used for in Live Cell Painting applications: This powerful tool reveals time-dependent phenotypic changes in compound-treated cells. Developed as a multi-chromatic, non-toxic dye designed for live-cell imaging, ChromaLIVE addresses the limitations...

  This poster focuses on Live Cell Painting for probing in vitro compound toxicity in high-content screens with one of our non-toxic, mix-and-read method with ChromaLIVE. It highlights how it offers the advantage of conducting image-based profiling...

Do you have questions about our non-toxic dye? Whether it's about its live-cell imaging capabilities, live-cell assay applications, high-content imaging settings, image-based profiling analysis, or even comparisons to Cell Painting, see our FAQ here.  

  Explore this poster presented at SLAS 2024, a significant collaborative effort involving Saguaro Technologies, Sunnybrook Research Institute, IRIC - Université de Montreal, Plexium and contributions from the Broad Institute of MIT and Harvard. This work focuses...

This work presents AutoHCS™, an AI-based tool for scoring high-content imaging results in morphological clustering that predicts mechanisms of action (MoA). Automating the detection and scoring of phenotypic responses, AutoHCS enables robust phenotypic profilingand predicts MoA,...