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4,243 changes: 1,256 additions & 2,987 deletions docs/Tutorials/T1_ImageAnalysis.ipynb

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8 changes: 0 additions & 8 deletions docs/Tutorials/T2_ProteomicsIntegration.ipynb
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{
"cells": [
{
"cell_type": "markdown",
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"metadata": {},
"source": [
"# Integrating proteomics and imaging data"
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297 changes: 291 additions & 6 deletions docs/Tutorials/T3_DownstreamProteomics.ipynb

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13 changes: 7 additions & 6 deletions docs/Tutorials/index.md
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This section provides hands-on tutorials to guide you through the core workflows of `openDVP`. Each tutorial uses our demo dataset and covers a key aspect of a Deep Visual Proteomics analysis.

### Tutorial 1: Image Analysis
## Tutorial 1: Image Analysis

Learn the fundamentals of processing and analyzing high-plex immunofluorescence images. This tutorial covers essential steps like quality control, cell segmentation, and feature extraction to prepare your imaging data for integration.

### Tutorial 2: Integration of Imaging with Proteomics
## Tutorial 2: Integration of Imaging with Proteomics

Discover how to link your imaging-derived cellular data with quantitative proteomics measurements. This tutorial leverages `SpatialData` to create a unified data object, enabling powerful spatial-omics analysis.

### Tutorial 3: Downstream Proteomics Analysis
## Tutorial 3: Downstream Proteomics Analysis

Dive into the analysis of your integrated proteomics data. This tutorial walks you through common downstream tasks such as data normalization, identifying cell populations, and performing differential abundance analysis to uncover biological insights.

## Tutorials
## Tutorial links

- [Tutorial 1: Image analysis](T1_ImageAnalysis)
- [Tutorial 2: Integration of imaging with proteomics](T2_ProteomicsIntegration)
- [Tutorial 3: Downstream proteomics analysis](T3_DownstreamProteomics)


```{toctree}
:maxdepth: 2
:hidden:

T1_ImageAnalysis
T2_ProteomicsIntegration
T3_DownstreamProteomics
```
```
4,227 changes: 4,227 additions & 0 deletions docs/Tutorials/old/T1_ImageAnalysis.ipynb

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