# BioImage Analysis

The DCSR offers image analysis support for the FBM community. Whether you're looking to extract quantitative information, automate a manual task, fix a script, or discuss a new project, you're at the right place! Antony Carrard, bioimage analyst and machine learning expert, will be happy to help you.

## What we can work on together

From a quick question to a full pipeline build from scratch, if it involves extracting information from images, we can talk about it. Here is what I can help you with:

- **Image acquisition &amp; setup** — camera and lighting selection, acquisition protocol, color calibration
- **Pre-processing** — denoising, stitching, channel alignment, flatfield correction
- **Segmentation &amp; detection** — from classical thresholding to deep learning models (SAM, Cellpose, StarDist…)
- **Cell &amp; object identification** — detection, counting, classification by morphology or intensity
- **Colocalization** — spatial co-occurrence analysis, intensity correlation, custom distribution metrics
- **Quantification** — intensity profiles, shape descriptors, color and texture analysis
- **Tracking &amp; behavioral analysis** — object tracking across frames, movement and behavior metrics
- **Large-scale pipelines** — automation, batch processing, HPC when needed
- **Results &amp; visualization** — overlays, plots, summary tables, exportable metrics

## Common tools &amp; software

Depending on your needs and existing workflow, we can also work with established open-source bioimage analysis tools:

- **Fiji / ImageJ** — the standard for general image processing and macro automation
- **CellProfiler** — automated quantification pipelines, no coding required
- **QuPath** — whole-slide and multichannel image analysis
- **Ilastik** — interactive machine learning for segmentation and classification
- **Napari** — Python-based viewer for multidimensional images

## Projects

[![neuronal-dendrites-annotated.png](https://wiki.unil.ch/ci/uploads/images/gallery/2026-06/scaled-1680-/neuronal-dendrites-annotated.png)](https://wiki.unil.ch/ci/uploads/images/gallery/2026-06/neuronal-dendrites-annotated.png)

*Automatic dendritic segmentation for intensity extraction — Marianna Pompili, Bagni Lab, DNF*

[![own-preparation-annotated.png](https://wiki.unil.ch/ci/uploads/images/gallery/2026-06/scaled-1680-/own-preparation-annotated.png)](https://wiki.unil.ch/ci/uploads/images/gallery/2026-06/own-preparation-annotated.png)

*Owl specimen ID extraction and image color correction pipeline — Tristan Cumer, Goudet Group, DEE*

[![endosome-polar-plot-annotated.png](https://wiki.unil.ch/ci/uploads/images/gallery/2026-06/scaled-1680-/endosome-polar-plot-annotated.png)](https://wiki.unil.ch/ci/uploads/images/gallery/2026-06/endosome-polar-plot-annotated.png)

*Automatic endosome contour identification for colocalization and polarization analysis — Sarah Hornfeck, Widmann Lab, DSB*

## Contact

Feel free to reach out at <research-computing-fbm@unil.ch> — briefly describe your project or question and we'll get back to you shortly.