IN Carta® Image Analysis Software

Description

IN Carta® Image Analysis Software is a comprehensive platform designed to process and interpret complex imaging data from biological experiments. It integrates advanced computational techniques, including artificial intelligence and deep learning, to transform raw image data into quantitative results. The software supports analysis of 2D, 3D, and time-lapse 4D datasets, accommodating a wide range of experimental designs. A key component is the Custom Module Editor, which allows researchers to build tailored image analysis protocols through a guided workflow. This enables precise segmentation and measurement of biological structures, even in challenging assays. The software includes specialized modules such as SINAP, which employs deep learning algorithms for improved object detection and segmentation, and Phenoglyphs, which uses machine learning to identify and quantify phenotypic changes across cell populations. Functionality for batch processing, real-time monitoring of analysis jobs, and interactive data visualization through linked charts, tables, and images is provided. The platform is engineered to work with Molecular Devices ImageXpress imaging systems, aiming to streamline the path from image acquisition to data insight.