New deep learning-based trainable segmentation module – IN Carta SINAP

Segmentation is the foundation of the image analysis pipeline. This step is vital in accurately and reliably identifying the shapes, sizes, and structural details of organelles and cells.

IN Carta SINAP leverages deep learning in a trainable segmentation module for faster, easier, flexible segmentation. We built this module to solve any type of segmentation problem while also delivering the following key benefits:

• Compatibility with any type of data, including brightfield
• High accuracy with both low signal-to-noise ratio (SNR) and high-density images
• Ability to cope with high phenotypic variability within an assay
• Easy to learn and use, without needing an image analysis or programming background

IN Carta VoluMetrics 3D image analysis module

3D cell culture models that more accurately mimic in vivo organs and tissues have the potential to improve understanding of disease and help probe for possible therapies. IN Carta VoluMetrics 3D image analysis module extends the functionality of IN Carta software with the ability to segment and quantify biological structures in true 3D space.

IN Carta VoluMetrics module provides algorithms that operate on 3D voxels when segmenting objects and extracting informative measures. Compared to individual z-plane analyses where the relationship between objects in adjacent z-planes is a rough approximation, these algorithms provide a better representation of the sample morphology and intensity distributions.

Usability for everyone

Load, browse, and review image data, create image analysis protocols, process data, and visualize analysis results quickly with a modern and intuitive user interface. Built-in analysis templates streamline analysis workflows while embedded help topics and tool tips guide all levels of user along the way.

Better algorithms, better results

Advanced algorithms generate high quality segmentation without the need for complex pre- or post-processing operations.

360º viewing

View data and analyze results and images on one screen. Use flexible data visualization tools, including cell-by-cell and summary plots, to interpret complex multiparameter cellular assays. Click on any cell-by-cell data point to highlight the segmented cell and associated cellular measurements to dynamically explore the relationship between images and results.

Rapid image analysis

Get to results faster with analysis options that can be optimized in minutes instead of days.

• Test analysis parameters and optimize settings faster with rapid and interactive visual feedback.
• Analyze experiments in batch analysis mode with one or more analysis protocols.
• Shorten analysis time using true parallel multi-core processing.

Phenoglyphs machine learning module

• Comprehensive: Take advantage of multiparametric data to develop a stronger classification model.
• Unbiased: Unsupervised clustering provides an objective overview of phenotypic populations and sub-populations.
• Insightful: Reveal deeper information and discover complex patterns in the data.

Need more information? Click here to learn more about Phenoglyphs or request a free demo.