arivis Scientific Image Analysis

AI for Advanced Image Analysis

A Practical Guide for Microscopy Analysis with the ZEISS arivis Software Platform

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AI eBook for Advanced Image Analysis

In this free eBook, you will learn:

  • 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

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The Benefits of AI for Your R&D

Reproducible Results
Reliability
Higher throughput
Automation and Integration
INSIGHTS INSIDE

Case Studies Overview in This eBook

Get a taste for the case studies found inside this eBook.

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01 Analysis of FIB-SEM Volume Electron Microscopy Data
01 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

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02 Deep Learning for Deep Analysis
02 Deep Learning for Deep Analysis

Researching the effects of hypoxic conditions on mitochondria, using Deep Learning to overcome image analysis challenges.

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03 The role of Wnt Signaling in organoid formation
03 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.

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04 Microscopy and Deep Learning for Neurological Disease Research
04 Microscopy and Deep Learning for Neurological Disease Research

An AI-driven model segments and classifies projections and  spines successfully in a mouse brain sample.

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05 Improving Microstructure Analysis of Aluminum Oxide
05 Improving Microstructure Analysis of Aluminum Oxide

Machine Learning vs. Deep Learning for segmentation of electron microscopy image of aluminum oxide microstructure.

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06 Single-cell Analysis with Instance (Object) Segmentation
06 Single-cell Analysis with Instance (Object) Segmentation

Overcoming the challenges of segmenting individula cells in phase contrast microscopy images.