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...

  This document outlines the general workflow for Live Cell Painting use cases, focusing on the methodology for analysis of ChromaLIVE™ data: Image Analysis: Cells are segmented and features extracted. Data processing: Features are transformed...

  Explore our publication, a significant collaborative effort demonstrating the power of ChromaLIVE. This study focuses on live cell painting and highlights how our non-toxic dye for live-cell imaging and high content screening overcomes limitations...

  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,...

  This poster presents a novel approach for quantifying apoptosis in live cells. It introduces ChromaLIVE, our non-toxic dye designed for live-cell imaging and automated AI analysis, which addresses the limitations of traditional fixed-cell methods...