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AI4Life at the 5th NEUBIAS Conference

AI4Life at the 5th NEUBIAS Conference

by Estibaliz Gómez-de-Mariscal

The 5th NEUBIAS Conference took place in Porto during the week of May 8th, 2023. It brought together experts in BioImage Analysis for the Defragmentation Training School and the Open Symposium. AI4Life actively participated in the event, contributing to both parts and covering topics from zero code Deep Learning tools, the Bioimage Model Zoo, BiaPy, Segment Anything for Microscopy, among others. Estibaliz Gómez-de-Mariscal has written a post in FocalPlane summarising the discussions and outcomes.

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BioImage Model Zoo joins Image.sc forum as a Community Partner

BioImage Model Zoo joins Image.sc forum as a Community Partner

by Caterina Fuster-Barceló

The BioImage Model Zoo (BMZ) has been incorporated as a Community Partner of the Image.sc forum, a discussion forum for scientific image software sponsored by the Center for Open Bioimage Analysis (COBA). The BMZ is a repository of pre-trained deep learning models for biological image analysis, and its integration into the Image.sc forum will provide a platform for the community to discuss and share knowledge on a wide range of topics related to image analysis.

The Image.sc forum aims to foster independent learning while embracing the diversity of the scientific imaging community. It provides a space for users to access a wide breadth of experts on various software related to image analysis, encourages open science and reproducible research, and facilitates discussions about elements of the software. All content on the forum is organized in non-hierarchical topics using tags, such as the “bioimageio” tag, making it easy for people interested in specific areas to find relevant discussions.

As a Community Partner, the BMZ joins other popular software tools such as CellProfiler, Fiji, ZeroCostDL4Mic, StarDist, ImJoy, and Cellpose, among others. The partnership means that the BMZ will use the Image.sc forum as a primary recommended discussion channel, and will appear in the top navigation bar with its logo and link.

The Image.sc forum has been cited in scientific publications, and users may reference it using the following citation:

Rueden, C.T., Ackerman, J., Arena, E.T., Eglinger, J., Cimini, B.A., Goodman, A., Carpenter, A.E. and Eliceiri, K.W. “Scientific Community Image Forum: A discussion forum for scientific image software.” PLoS biology 17, no. 6 (2019): e3000340. doi:10.1371/journal.pbio.3000340

The integration of the BMZ into the Image.sc forum will undoubtedly facilitate knowledge-sharing and collaborative efforts in the field of biological image analysis, benefiting researchers, developers, and users alike.