New special issue in the Journal of Microscopy from the RMS Data Analysis in Imaging committee!

We are pleased to announce the publication of a new special issue (December 2024) which features papers on the theme of Data Analysis in Imaging. 

The special issue was guest edited by Rocco D’Antuono (The Francis Crick Institute and University of Reading, UK), Laura Murphy (University of Edinburgh, UK) and Chas Nelson (Fjelltopp, UK).

The idea for the issue came from discussions at the RMS Data Analysis in Imaging science section meetings. In the introduction to the special issue, Rocco, Laura and Chas write: “Image data analysis is essential across many fields of scientific research.

"A thorough knowledge of different methods and software tools is critical for the success of many research projects. The availability and reproducibility of workflows, familiarity with state-of-the-art algorithms, and appropriate training are vital for researchers who need to employ data analysis in imaging.

“With these community needs in mind, in 2018, Dominic Waithe started the efforts to build a community of scientists working in this field. This developed into an RMS Image Analysis Focused Interest Group in 2018 before graduating to become the “Data Analysis in Imaging” (DAIM) RMS Science Section in 2021.

"Once established, we launched an open call to the community for papers with a focus on tools and workflows for image analysis and image data management.” (‘Data analysis in imaging (DAIM) – A new RMS science section’ Rocco D'Antuono, Laura Murphy, Chas Nelson, https://doi.org/10.1111/jmi.13366)

The issue features the following papers:

ModularImageAnalysis (MIA): Assembly of modularised image and object analysis workflows in ImageJ Stephen J. Cross, Jordan D. J. R. Fisher, Mark A. Jepson

Comparison of the SMLM technique and the MSSR algorithm in confocal microscopy for super-resolved imaging of cellulose fibres Josué David Hernández-Varela, Susana Dianey Gallegos-Cerda, José Jorge Chanona-Pérez, Liliana Edith Rojas Candelas, Eduardo Martínez-Mercado

Bridging imaging users to imaging analysis – A community survey Suganya Sivagurunathan, Stefania Marcotti, Carl J Nelson, Martin L Jones, David J Barry, Thomas J A Slater, Kevin W Eliceiri, Beth A Cimini

Annotation and automated segmentation of single-molecule localisation microscopy data
Oliver Umney, Joanna Leng, Gianluca Canettieri, Natalia A. Riobo-Del Galdo, Hayley Slaney, Philip Quirke, Michelle Peckham, Alistair Curd

CellProfiler plugins – An easy image analysis platform integration for containers and Python tools
Erin Weisbart, Callum Tromans-Coia, Barbara Diaz-Rohrer, David R. Stirling, Fernanda Garcia-Fossa, Rebecca A. Senft, Mark C. Hiner, Marcelo B. de Jesus, Kevin W. Eliceiri, Beth A. Cimini

Cover image shows:

• Fluorescence microscopy image and cell nuclei labelled with MIA software for modular image analysis [Cross, Fisher, and Jepson, 2023].
• Cell membrane receptors automatically analysed with deep learning models for single molecule localisation microscopy [Umney et al., 2024]. 
• Mean-Shift Super-Resolution (MSSR) applied to analyse images of biomaterials [Hernández-Varela et al., 2024].
• Wordcloud of searched topics on image.sc that led to the implementation of CellProfiler plugins [Weisbart et al., 2024].
• Pie chart of the roles of the respondents to the joint COBA, BINA, and RMS-DAIM survey on biomedical and physical imaging community [Sivagurunathan et al., 2023].
• The armadillo is the adopted logo of the Data Analysis in IMaging (DAIM) RMS section.
• Cover created by: Rocco D'Antuono (The Francis Crick Institute)