{rfName}
To

Indexed in

License and Use

Licencia Icono OpenAccess

Citations

18

Altmetrics

Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

García-Garví, AntonioAuthorPuchalt-Rodríguez, Joan CarlesAuthorSanchez-Salmerón, AjCorresponding Author

Share

October 30, 2024
Publications
>
Article
Sí

Towards Lifespan Automation for Caenorhabditis elegans Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live Classification

Publicated to: SENSORS. 21 (14): 1-17 - 2021-01-01 21(14), DOI: 10.3390/s21144943

Authors:

García-Garví, Antonio; Puchalt-Rodríguez, Joan Carles; Layana-Castro, Pablo Emmanuel; Navarro Moya, Francisco; Sánchez Salmerón, Antonio José
[+]

Affiliations

Univ Politecn Valencia, Inst Automat & Informat Ind - Author

Abstract

The automation of lifespan assays with C. elegans in standard Petri dishes is a challenging problem because there are several problems hindering detection such as occlusions at the plate edges, dirt accumulation, and worm aggregations. Moreover, determining whether a worm is alive or dead can be complex as they barely move during the last few days of their lives. This paper proposes a method combining traditional computer vision techniques with a live/dead C. elegans classifier based on convolutional and recurrent neural networks from low-resolution image sequences. In addition to proposing a new method to automate lifespan, the use of data augmentation techniques is proposed to train the network in the absence of large numbers of samples. The proposed method achieved small error rates (3.54% +/- 1.30% per plate) with respect to the manual curve, demonstrating its feasibility.
[+]

Keywords

AnimalAnimalsAutomationCC. elegansC.-elegansCaenorhabditis elegansComputer visionConvolutionData augmentationDeep learningElegansError rateGood health and well-beingLife spanLifespan automationLongevityNeural networks, computerPetri dishPlate edgesRecurrent neural networksResolution imagesTraditional computers

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal SENSORS due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Instrumentation.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-05:

  • WoS: 7
  • Scopus: 4
  • Europe PMC: 3
[+]

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-05:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 15.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 15 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.
  • The number of mentions on the social network X (formerly Twitter): 4 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: http://hdl.handle.net/10251/187404
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 3 - Ensure healthy lives and promote well-being for all at all ages, with a probability of 0% according to the mBERT algorithm developed by Aurora University.
[+]

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Switzerland.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Garví, AG) and Last Author (Sánchez Salmerón, Antonio José).

the author responsible for correspondence tasks has been Sánchez Salmerón, Antonio José.

[+]

Awards linked to the item

This study was supported by the Plan Nacional de I + D under the project RTI2018-094312B-I00 and by the European FEDER funds.
[+]