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WormLab

A comprehensive system for imaging and analyzing C. elegans behavior with automatic worm tracking and advanced analysis capabilities.

Solution by MBF Bioscience
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Overview

WormLab offers a full hardware and software package designed specifically for the imaging, tracking, and quantitative analysis of C. elegans behavior. Developed in collaboration with leading researchers in the field, it provides a straightforward yet powerful solution for worm tracking and analysis.

At the heart of WormLab is a patented tracking technology featuring a groundbreaking algorithm that enables fully automatic characterization of a wide range of C. elegans behaviors. Whether dealing with crawling, swimming, thrashing worms, or conducting whole plate and long-term tracking, WormLab facilitates all types of assays, allowing researchers to concentrate on their studies instead of the tools.

Key Benefits

  • Automatically and accurately quantify C. elegans behavior.
  • Precisely analyze phenotypes and easily identify subtle differences.
  • Start collecting meaningful data quickly through user-friendly workflows.
  • Integrate behavior assessment with stimulus delivery, including optogenetics, chemotaxis, and mechanosensation.

WormLab stands out as the ultimate solution for worm tracking and analysis. It provides automatic quantification of the behavior of C. elegans and other nematodes. Users gain access to numerous detailed metrics such as speed, direction, and distance traveled. Dynamic changes in posture can be fully characterized, as well as complex movements like omega bends, coiling, self-overlap, swimming, and thrashing.

Moreover, WormLab enables researchers to efficiently and effectively examine social interactions, such as aggregation, social foraging, and mating. The tool makes worm tracking simpler and more accurate, empowering scientists to delve into the subtle effects on behavior.

Meta

Category
Imaging & Digital Pathology
Field(s)
Imaging & Diagnostics
Target user(s)
Bench Scientist / Lab Technician
Tag(s)
Digital Pathology / Imaging