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:
- Intuitive: Perform complex analysis following easy-to-use workflows.
- Robust: Generate reliable data and results with minimal user input.
- Dynamic: Create powerful visual links between images, plots, and data tables using 360º viewing tools.
- Efficient: Achieve high-speed data processing with multicore and batch capabilities.
- Intelligent: Train machine learning algorithms to quickly perform complex analysis tasks and get to meaningful results faster.
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Product | Product Name | Price | |
---|---|---|---|
29239111 | WORKSTATION, IN Carta | On Request | Get Quote |
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