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Call for papers - Computational methods in microscopy image analysis

Guest Editor

Dariusz Plewczyński, PhD, Warsaw University of Technology, Poland

Submission Status: Open   |   Submission Deadline: 28 February 2025


BMC Bioinformatics is welcoming submissions for our Collection focused on Computational methods in microscopy image analysis.

This Collection aims to showcase innovative computational approaches and bioinformatics tools tailored for microscopy image analysis.

New Content ItemThis Collection supports and amplifies research related to SDG 9: Industry, Innovation, and Infrastructure

Meet the Guest Editor

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Dariusz Plewczyński, PhD, Warsaw University of Technology, Poland

Dariusz Plewczyński , PhD, is a professor at the University of Warsaw in Center of New Technologies CeNT, the head of the Laboratory of Functional and Structural Genomics and a professor and principal investigator at the Faculty of Mathematics and Information Science at Warsaw University of Technology. His main expertise covers computational genomics, nuclear imaging, biophysics, and bioinformatics. He is actively developing artificial intelligence algorithms, image processing approaches, performing biophysical simulations, and applying computational modelling to various interdisciplinary problems in Human genomics. 

Dariusz Plewczyński's research interests are focused on functional and structural genomics. His goal is to combine epigenomic, transcriptional and super-resolution imaging data with spatial and temporal nucleus structure for better understanding of the biological function of genomes.

About the Collection

BMC Bioinformatics is welcoming submissions for our Collection focused on Computational methods in microscopy image analysis.

Microscopy imaging techniques have revolutionized our understanding of biological processes by enabling the visualization of cellular and molecular details with unprecedented resolution. However, the complexity and volume of microscopic data pose significant challenges for analysis and interpretation. Computational methods are crucial in extracting meaningful information from microscopy images, enhancing image resolution, and uncovering subtle biological processes.

This Collection aims to showcase innovative computational approaches and bioinformatics tools tailored for microscopy image analysis, with potential topics including but not limited to:

  • Computational methods in Electron Microscopy and FRET-FLIM microscopy
  • Image processing techniques for light microscopy and confocal microscopy
  • Novel algorithms for image segmentation, object detection, and feature extraction in microscopy
  • Integration of multi-modal and SCAPE microscopy data
  • Quantification of spatial and temporal dynamics in fluorescence microscopy analysis
  • Convolution and deconvolution methods for microscopy images
  • Application of machine learning techniques for automated microscopy image analysis


This Collection supports and amplifies research related to SDG 9: Industry, Innovation, and Infrastructure.

Image credit: © [M] dra_schwartz / Getty Images / iStock

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of original research and software articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Computational methods in microscopy image analysis" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.