ilastik: interactive machine learning for (bio)image analysis.

Stuart Berg, Dominik Kutra, Thorben Kroeger, Christoph N Straehle, Bernhard X Kausler, Carsten Haubold, Martin Schiegg, Janez Ales, Thorsten Beier, Markus Rudy, Kemal Eren, Jaime I Cervantes, Buote Xu, Fynn Beuttenmueller, Adrian Wolny

December 2019 Nat Methods

Synopsis of Social media discussions

The discussions reveal a positive perception of ilastik, with mentions of it bringing machine learning to users without extensive computational skills, thus increasing accessibility. Words like 'exciting research' and references to 'pre-defined workflows' emphasize both enthusiasm and practical relevance, while the tone suggests a belief in its potential to impact bioimage analysis significantly.

A
Agreement
 Moderate agreement

Most discussions recognize ilastik as a useful and accessible tool for bioimage analysis, showing general support for its value.

I
Interest
 High level of interest

Comments frequently mention excitement about its features and potential, indicating high curiosity and engagement.

E
Engagement
 Moderate level of engagement

Many posts discuss specific aspects like workflows and applications, reflecting active involvement.

I
Impact
 Moderate level of impact

Several discussions highlight its significance for bioinformatics and imaging fields, suggesting moderate recognition of its influence.

Social Mentions

YouTube

2 Videos

Twitter

27 Posts

Blogs

4 Articles

News

4 Articles

Metrics

Video Views

22,631

Total Likes

195

Extended Reach

183,044

Social Features

37

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Image Segmentation with ilastik Using Pixel Classification Technique

Image Segmentation with ilastik Using Pixel Classification Technique

This video demonstrates how to perform image segmentation with ilastik, a user-friendly machine learning tool for bioimage analysis. It covers the Pixel Classification workflow, including data input, feature selection, and training for accurate object classification.

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November 9, 2019

20,555 views

Machine Learning for Bioimage Analysis with ilastik Overview

Machine Learning for Bioimage Analysis with ilastik Overview

This seminar explores ilastik, an easy-to-use open-source tool for machine-learning-based bioimage analysis. Dr. Dominik Kutra provides an overview of its functionalities, including image segmentation and object classification, demonstrating integration with other analysis tools.

LIBRE hub

April 23, 2023

2,076 views

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    December 4, 2019

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    December 3, 2019

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    December 2, 2019

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    December 2, 2019

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    October 17, 2019

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    October 2, 2019

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    October 2, 2019

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    October 1, 2019

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Abstract Synopsis

  • ilastik is a user-friendly, interactive machine learning tool designed for bioimage analysis, enabling users without advanced computational skills to perform tasks like segmentation, classification, counting, and tracking.
  • It allows users to customize workflows by providing sparse training annotations, and it can handle complex data, including 3D, time series, and multi-channel images, processing large datasets efficiently.
  • After training, ilastik workflows can be easily applied to new data via command line, and detailed case studies and performance discussions are provided to guide users.