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Biol Imaging DOI:10.1017/S2633903X21000039

2020 BioImage Analysis Survey: Community experiences and needs for the future.

Publication TypeJournal Article
Year of Publication2022
AuthorsJamali, N, Dobson, ETa, Eliceiri, KW, Carpenter, AE, Cimini, BA
JournalBiol Imaging
Volume1
Date Published2022
ISSN2633-903X
Abstract

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.

DOI10.1017/S2633903X21000039
Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/35387317?dopt=Abstract

Alternate JournalBiol Imaging
PubMed ID35387317
PubMed Central IDPMC8982832