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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:
  • The fundamentals of AI, Machine Learning and Deep Learning
  • How to train your own ML & DL models on your microscopy data
  • How to train and run a model without coding knowledge
  • Inspiring case studies with light and electron microscopy image data

Take a Look Inside

An Insight Before You Download

  • From 3D Light to 3D Electron Microscopy - Ebook Preview 1
  • From 3D Light to 3D Electron Microscopy - Ebook Preview 2

Learn more watching the AI eBook Intro Video

A Practical Guide for Microscopy Analysis

How can AI help your research?

  1. Reproducible Results
  2. Higher throughput
  3. Reliability
  4. 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.

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