Description
Go from assay to insights quickly and reliably with ImageXpress imaging systems and IN Carta software.
IN Carta® Image Analysis Software solves complex image analysis problems utilizing advanced Artificial Intelligence (AI), transforming images into results, which can be interpreted with ease. User-friendly workflows help you get answers faster from 2D, 3D, and 4D experiments. With the integration of our Custom Module Editor application, you can define highly customized image analysis protocols allowing you to obtain robust results—even for complex assays—then quickly visualize, review, and interact with the analysis results. Let IN Carta software do the heavy lifting so you can focus on your research.
Features:
- Deep learning
Improve the specificity of your image analysis workflows by utilizing the SINAP module. SINAP relies on deep learning-based image analysis, resulting in robust segmentation for virtually any biological structure.
- AI-powered data analytics
Leverage the power of machine learning without being a data scientist. Identify and quantify phenotypic changes in a user-friendly workflow. Explore your data and reveal insights from complex datasets. Find novel and unexpected phenotypes with a few mouse clicks.
- 3D analysis
The Custom Module Editor’s 3D application provides unprecedented flexibility in segmenting complex biological structures. Image datasets can be acquired in 3D or 4D (time-lapse 3D), and tailored image analysis routines can be developed within a guided workflow.
- Start with a worklist
Browse to a parent directory and populate your worklist with image datasets of interest, or simply use search to find them.
- Customization
Browse and review images from experiments, create image analysis protocols of different complexity, and add on-demand data classification. Visualize analysis results using 360 ° data linking among images, data table and charts.
- Batch analysis and monitoring
Analyze multiple experiments in batch analysis mode with one or more analysis protocols. Monitor the status of all submitted tasks and oversee their progression in real time.
Flexi-Protocol
Flexi-Protocol application althe creation of custom analysis protocols of various complexity by adding as many analysis steps as needed. Each analysis step can contain image pre-processing and object mask post-processing operations to better adapt to a specific assay. Redesigned analysis and image viewer panes can be expanded or collapsed depending on where focus is needed.
IN Carta SINAP
SINAP is a module that uses deep learning algorithms to improvethe accuracy and reliability of high-content screening assays at the first step in the analysis pipeline—segmentation. It provides better object detection than traditional image analysis methods. Deep learning models can be easily tailored within a user-friendly tool, so that any novel biological objects can be segmented efficiently. Quantitative information extracted from segmented objects is more accurate, so errors are not propagated down the analysis pipeline.
IN Carta Phenoglyphs
The IN Carta® Phenoglyphs™ Software Module uses a unique combination of unsupervised and supervised machine learning to quantify phenotypical changes. Using many hundreds of cellular features that can be analyzed simultaneously, a comprehensive phenotypic profile is created and can be applied throughout an entire screening workflow. This multivariate approach to classification provides an accurate characterization of object populations, allowing users to resolve subtle phenotypic changes induced by drug treatment or genetic modification. It can be utilized across many biological targets, including organoids, cells, spheroids, and more.
IN Carta Custom Module Editor 2D and 3D
- Createa simple step-by-step custom analysis
- Tailor object segmentation and classification
- Find objects localized within defined biological compartments
- Report only the measurements required for an assay of interest
- Analyze live imaging data
- True 3D segmentation (3D application only)
- Robust reconstruction of 2D segmentation into volume for 3D assays (3D application only)