Literature DB >> 34112931

Small flexible automated system for monitoring Caenorhabditis elegans lifespan based on active vision and image processing techniques.

Joan Carles Puchalt1, Antonio-José Sánchez-Salmerón2, Eugenio Ivorra1, Silvia Llopis3, Roberto Martínez3, Patricia Martorell3.   

Abstract

Traditionally Caenorhabditis elegans lifespan assays are performed by manually inspecting nematodes with a dissection microscope, which involves daily counting of live/dead worms cultured in Petri plates for 21-25 days. This manual inspection requires the screening of hundreds of worms to ensure statistical robustness, and is therefore a time-consuming approach. In recent years, various automated artificial vision systems have been reported to increase the throughput, however they usually provide less accurate results than manual assays. The main problems identified when using these vision systems are the false positives and false negatives, which occur due to culture media changes, occluded zones, dirtiness or condensation of the Petri plates. In this work, we developed and described a new C. elegans monitoring machine, SiViS, which consists of a flexible and compact platform design to analyse C. elegans cultures using the standard Petri plates seeded with E. coli. Our system uses an active vision illumination technique and different image-processing pipelines for motion detection, both previously reported, providing a fully automated image processing pipeline. In addition, this study validated both these methods and the feasibility of the SiViS machine for lifespan experiments by comparing them with manual lifespan assays. Results demonstrated that the automated system yields consistent replicates (p-value log rank test 0.699), and there are no significant differences between automated system assays and traditionally manual assays (p-value 0.637). Finally, although we have focused on the use of SiViS in longevity assays, the system configuration is flexible and can, thus, be adapted to other C. elegans studies such as toxicity, mobility and behaviour.

Entities:  

Year:  2021        PMID: 34112931     DOI: 10.1038/s41598-021-91898-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  27 in total

1.  Evolution of lifespan in C. elegans.

Authors:  D W Walker; G McColl; N L Jenkins; J Harris; G J Lithgow
Journal:  Nature       Date:  2000-05-18       Impact factor: 49.962

2.  Normal and mutant thermotaxis in the nematode Caenorhabditis elegans.

Authors:  E M Hedgecock; R L Russell
Journal:  Proc Natl Acad Sci U S A       Date:  1975-10       Impact factor: 11.205

3.  Factors affecting habituation and recovery from habituation in the nematode Caenorhabditis elegans.

Authors:  C H Rankin; B S Broster
Journal:  Behav Neurosci       Date:  1992-04       Impact factor: 1.912

4.  Aging in the nematode Caenorhabditis elegans: major biological and environmental factors influencing life span.

Authors:  M R Klass
Journal:  Mech Ageing Dev       Date:  1977 Nov-Dec       Impact factor: 5.432

Review 5.  Capillary interactions between particles bound to interfaces, liquid films and biomembranes.

Authors:  P A Kralchevsky; K Nagayama
Journal:  Adv Colloid Interface Sci       Date:  2000-03-31       Impact factor: 12.984

6.  The C. elegans lifespan assay toolkit.

Authors:  Francis Raj Gandhi Amrit; Ramesh Ratnappan; Scott Alexander Keith; Arjumand Ghazi
Journal:  Methods       Date:  2014-04-13       Impact factor: 3.608

7.  Plasticity of pheromone-mediated avoidance behavior in C. elegans.

Authors:  YongJin Cheon; Hyeonjeong Hwang; Kyuhyung Kim
Journal:  J Neurogenet       Date:  2020-08-19       Impact factor: 1.250

8.  Using C. elegans for aging research.

Authors:  Heidi A Tissenbaum
Journal:  Invertebr Reprod Dev       Date:  2014-12-09       Impact factor: 0.952

9.  Longitudinal imaging of Caenorhabditis elegans in a microfabricated device reveals variation in behavioral decline during aging.

Authors:  Matthew A Churgin; Sang-Kyu Jung; Chih-Chieh Yu; Xiangmei Chen; David M Raizen; Christopher Fang-Yen
Journal:  Elife       Date:  2017-05-31       Impact factor: 8.140

10.  The Caenorhabditis elegans Lifespan Machine.

Authors:  Nicholas Stroustrup; Bryne E Ulmschneider; Zachary M Nash; Isaac F López-Moyado; Javier Apfeld; Walter Fontana
Journal:  Nat Methods       Date:  2013-05-12       Impact factor: 28.547

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  2 in total

1.  The Replica Set Method is a Robust, Accurate, and High-Throughput Approach for Assessing and Comparing Lifespan in C. elegans Experiments.

Authors:  Adam Cornwell; Jesse R Llop; Peter Salzman; Niels Rasmussen; Juilee Thakar; Andrew V Samuelson
Journal:  Front Aging       Date:  2022-04-28

2.  Applying C. elegans to the Industrial Drug Discovery Process to Slow Aging.

Authors:  David Weinkove; Giulia Zavagno
Journal:  Front Aging       Date:  2021-10-19
  2 in total

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