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2020 BioImage Analysis Survey: Community experiences and needs for the future
In this paper, we summarize a global survey of 484 participants of the imaging community, conducted in 2020 through the NIH Center for Open BioImage Analysis (COBA). This 23-question survey covered experience with image analysis, scientific background and demographics, and views and requests from di...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982832/ https://www.ncbi.nlm.nih.gov/pubmed/35387317 http://dx.doi.org/10.1017/S2633903X21000039 |
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author | Jamali, Nasim Dobson, Ellen TA Eliceiri, Kevin W. Carpenter, Anne E. Cimini, Beth A. |
author_facet | Jamali, Nasim Dobson, Ellen TA Eliceiri, Kevin W. Carpenter, Anne E. Cimini, Beth A. |
author_sort | Jamali, Nasim |
collection | PubMed |
description | In this paper, we summarize a global survey of 484 participants of the imaging community, conducted in 2020 through the NIH Center for Open BioImage Analysis (COBA). This 23-question survey covered experience with image analysis, scientific background and demographics, and views and requests from different members of the imaging community. Through open-ended questions we asked the community to provide feedback for the open-source tool developers and tool user groups. The community’s requests for tool developers include general improvement of tool documentation and easy-to-follow tutorials. Respondents encourage tool users to follow the best practices guidelines for imaging and ask their image analysis questions on the Scientific Community Image forum (forum.image.sc). We analyzed the community’s preferred method of learning, based on level of computational proficiency and work description. In general, written step-by-step and video tutorials are preferred methods of learning by the community, followed by interactive webinars and office hours with an expert. There is also enthusiasm for a centralized location online for existing educational resources. The survey results will help the community, especially developers, trainers, and organizations like COBA, decide how to structure and prioritize their efforts. |
format | Online Article Text |
id | pubmed-8982832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-89828322022-04-05 2020 BioImage Analysis Survey: Community experiences and needs for the future Jamali, Nasim Dobson, Ellen TA Eliceiri, Kevin W. Carpenter, Anne E. Cimini, Beth A. Biol Imaging Article In this paper, we summarize a global survey of 484 participants of the imaging community, conducted in 2020 through the NIH Center for Open BioImage Analysis (COBA). This 23-question survey covered experience with image analysis, scientific background and demographics, and views and requests from different members of the imaging community. Through open-ended questions we asked the community to provide feedback for the open-source tool developers and tool user groups. The community’s requests for tool developers include general improvement of tool documentation and easy-to-follow tutorials. Respondents encourage tool users to follow the best practices guidelines for imaging and ask their image analysis questions on the Scientific Community Image forum (forum.image.sc). We analyzed the community’s preferred method of learning, based on level of computational proficiency and work description. In general, written step-by-step and video tutorials are preferred methods of learning by the community, followed by interactive webinars and office hours with an expert. There is also enthusiasm for a centralized location online for existing educational resources. The survey results will help the community, especially developers, trainers, and organizations like COBA, decide how to structure and prioritize their efforts. 2022 2021-11-12 /pmc/articles/PMC8982832/ /pubmed/35387317 http://dx.doi.org/10.1017/S2633903X21000039 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work. |
spellingShingle | Article Jamali, Nasim Dobson, Ellen TA Eliceiri, Kevin W. Carpenter, Anne E. Cimini, Beth A. 2020 BioImage Analysis Survey: Community experiences and needs for the future |
title | 2020 BioImage Analysis Survey: Community experiences and needs for the future |
title_full | 2020 BioImage Analysis Survey: Community experiences and needs for the future |
title_fullStr | 2020 BioImage Analysis Survey: Community experiences and needs for the future |
title_full_unstemmed | 2020 BioImage Analysis Survey: Community experiences and needs for the future |
title_short | 2020 BioImage Analysis Survey: Community experiences and needs for the future |
title_sort | 2020 bioimage analysis survey: community experiences and needs for the future |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982832/ https://www.ncbi.nlm.nih.gov/pubmed/35387317 http://dx.doi.org/10.1017/S2633903X21000039 |
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