# From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee

**Authors:** Selin Aviyente, Alejandro Frangi, Erik Meijering, Arrate Muñoz-Barrutia, Michael Liebling, Dimitri Van De Ville, Jean-Christophe Olivo-Marin, Jelena Kovačević, Michael Unser  
**arXiv:** [2210.17346](https://arxiv.org/abs/2210.17346)  
**Date:** 2022-10-31  
**Summary page:** https://www.summarizepaper.com/en/paper/2210.17346v2/

## Key points

- The Bio Image and Signal Processing (BISP) Technical Committee focuses on promoting activities in biomedical image and signal processing.
- Areas covered include medical and biological imaging, digital pathology, molecular imaging, microscopy, computational imaging, image analysis, image-guided treatment, physiological signal processing, computational biology, and bioinformatics.
- The committee consists of 40 members covering a wide range of topics related to biomedical imaging and signal processing.
- BISP organizes conferences and symposiums in the field, including the IEEE International Symposium on Biomedical Imaging (ISBI), IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), and IEEE International Conference on Image Processing (ICIP).
- Reproducible research is emphasized in the field to address concerns about poor building upon previous work and difficulties in comparing algorithms/software performance.
- Benchmark initiatives provide reference datasets/challenges for evaluating algorithms/methods.
- Open software platforms like Cell Profiler, Fiji & Icy have been developed to share state-of-the-art analytical methods with the community.
- Deep learning frameworks have been integrated into these platforms to enhance their capabilities.
- BISP membership has seen moderate growth but efforts are being made to strengthen links between engineering & biomedical research communities through collaboration with organizations like NIH & NIBIB.

## Summary

The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) focuses on promoting activities in the field of biomedical image and signal processing. This includes areas such as medical and biological imaging, digital pathology, molecular imaging, microscopy, computational imaging, image analysis, image-guided treatment, physiological signal processing, computational biology, and bioinformatics. The committee consists of 40 members who cover a wide range of topics related to biomedical imaging and signal processing. BISP plays a significant role in organizing various conferences and symposiums in the field. They are actively involved in the IEEE International Symposium on Biomedical Imaging (ISBI), where they contribute to technical sessions. They also contribute to the technical sessions at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and the IEEE International Conference on Image Processing (ICIP). In recent years there has been an increased emphasis on reproducible research in the field of biomedical image and signal processing. Reproducible research refers to making all relevant information available so that independent researchers can reproduce results. To address concerns about poor building upon previous work and difficulties in comparing algorithms/software performance benchmark initiatives have been introduced which provide reference datasets/challenges for evaluating algorithms/methods. For example ISBI 2012 held its first set of challenges on topics such as particle tracking, neuronal structure segmentation etc. Open software platforms like Cell Profiler, Fiji & Icy have been developed to allow researchers to share state-of-the-art analytical methods with the community while deep learning frameworks have been integrated into these platforms further enhancing their capabilities. Despite active & growing community BISP membership has only seen moderate growth however efforts are being made to strengthen links between engineering & biomedical research communities with involvement from organizations like NIH & NIBIB highlighting importance of collaboration between these fields. Overall BISP continues to contribute to advancements in biomedical image & signal processing through its activities/conferences/initiatives promoting reproducibility & collaboration within field.