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Advanced Image Analysis with AI
For Researchers In Life Science and Material Science
- In this free eBook, you will learn about:
Learn more watching the AI eBook Intro Video
A Practical Guide for Microscopy Analysis
How can AI help your research?
- Reproducible Results
- Higher throughput
- Reliability
- Automation & Integration
The Case Studies Featured In This eBook
What you can expect when downloading the eBook
Analysis of FIB-SEM Volume Electron Microscopy Data
AI-driven automation for 3D analysis of volume electron microscopy imaging for Sub-cell analysis of large datasets.
Deep Learning for Deep Analysis
Researching the effects of hypoxic conditions on mitochondria, using Deep Learning to overcome image analysis challenges.
The role of Wnt Signaling in organoid formation
Differentiating not only between the lumen and the organoid’s outer layer but also between cell bodies in the organoid cell layer.
Microscopy and Deep Learning for Neurological Disease Research
An AI-driven model segments and classifies projections and spines successfully in a mouse brain sample.
Improving Microstructure Analysis of Aluminum Oxide
Machine Learning vs. Deep Learning for segmentation of electron microscopy image of aluminum oxide microstructure.
Single-cell Analysis with Instance (Object) Segmentation
Overcoming the challenges of segmenting individula cells in phase contrast microscopy images.