Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

1.7K
Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
1.7K
Machines01:19

Machines

584
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
584
Machines: Problem Solving II01:30

Machines: Problem Solving II

679
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
679
Machines: Problem Solving I01:22

Machines: Problem Solving I

729
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
729
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.7K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.7K
Associative Learning01:27

Associative Learning

1.5K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
1.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Scavenger Cells Failure to Maintain Systemic RNA Homeostasis Causes Epigenetically Inherited Germline Tumors.

bioRxiv : the preprint server for biology·2026
Same author

Stage-specific transcriptomics of a leader cell reveals cell machineries driving collective invasion.

The Journal of cell biology·2026
Same author

How do authors want to use AI for review? : A survey to assess the perception of scientists who received both AI and human reviews of their manuscripts.

EMBO reports·2026
Same author

Cold and lithium delay forgetting of olfactory memories in Caenorhabditis elegans.

Nature neuroscience·2025
Same author

Reduced insulin/IGF-1 signaling and loss of <i>pals-22</i> promote repetitive DNA silencing in <i>C. elegans</i>.

microPublication biology·2025
Same author

The Trembling Hand Unraveled: Motor Dynamics and Choice Inconsistency.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same journal

Experimental evidence for behavioural cooling as a response to virus infection in an ectothermic vertebrate.

BMC biology·2026
Same journal

DNA damage at an early developmental stage affects neurodevelopment in sterlet (Acipenser ruthenus).

BMC biology·2026
Same journal

The landscape of human genomic diversity.

BMC biology·2026
Same journal

AGCECDA: attention-guided heterogeneous graph collaborative embedding for circRNA-drug sensitivity association prediction.

BMC biology·2026
Same journal

A decoy receptor antagonizes interferon mediated antiviral responses in teleost fish.

BMC biology·2026
Same journal

Decoding the association between platinum resistance and HPV status in cervical cancer using organoid models.

BMC biology·2026
See all related articles

Related Experiment Video

Updated: Feb 15, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K

WorMachine: machine learning-based phenotypic analysis tool for worms.

Adam Hakim1, Yael Mor2,3, Itai Antoine Toker4

  • 1Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel. adamhakim@mail.tau.ac.il.

BMC Biology
|January 18, 2018
PubMed
Summary
This summary is machine-generated.

WorMachine software automates Caenorhabditis elegans (C. elegans) phenotyping, enabling high-throughput, accurate analysis of visible traits. This tool enhances nematode research by providing a reliable solution for quantifying diverse biological questions.

Keywords:
Caenorhabditis elegansDeep learningFeature extractionHigh-throughput image analysisImage processingMachine learningPhenotype analysis

More Related Videos

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.1K
Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.1K

Related Experiment Videos

Last Updated: Feb 15, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.6K
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.1K
Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

1.1K

Area of Science:

  • Biotechnology
  • Computational Biology
  • Genetics

Background:

  • Caenorhabditis elegans (C. elegans) are valuable model organisms in biological research.
  • Quantifying visible phenotypes in C. elegans is often labor-intensive, prone to bias, and error-prone.

Purpose of the Study:

  • To develop an automated, accurate, and reproducible image analysis software for C. elegans phenotyping.
  • To provide a high-throughput solution for researchers studying nematode biology.

Main Methods:

  • Development of WorMachine, a three-step MATLAB-based image analysis software.
  • Automated identification of C. elegans worms.
  • Extraction of morphological features and quantification of fluorescent signals.
  • Application of machine learning techniques for high-level analysis.

Main Results:

  • WorMachine was validated using five representative assays, including phenotype classification and quantification of RNA interference effects.
  • The software demonstrated accurate and reproducible measurements for diverse phenotypes.
  • Intracellular protein aggregation was successfully quantified.

Conclusions:

  • WorMachine is a versatile tool suitable for a variety of biological questions in C. elegans research.
  • It offers a convenient, high-throughput, and automated solution for nematode phenotyping.
  • The software enhances the accuracy and reproducibility of phenotypic analysis.