Case study
You are back from your acquisition session at the microscope with some images. What about now?
Being well-organized
Being well-organized from the start will save you a lot of time. Do you already have a filename convention? If not, here’s a suggestion: include all relevant variables in your filenames, and use a dedicated character to separate them. This will help keep everything structured and easy to navigate.
For example, I use the underscore _
as a separator and arrange variables in a logical, hierarchical order.
VariableA-001_VariableB-01_VariableC-0.tif
In the example below I have 3 variables:
- Slides with 5 levels: 1-5
- Coverslips with 3 levels: 1-3
- Images with 3 levels: 1-3
Renaming files afterward
If you missed the opportunity to name your files using a proper convention during acquisition, it’s not the end of the world. There are tools that can quickly and efficiently rename large sets of files:
- On Windows: Bulk Rename Utility
- On Mac: Automator
Run global measurements
A first step is to run a global measurements on all images. This will produce a file with all measurements for all images. We can then use this data to use existing exploratory data visualization tools
- SAPHIR from Germani E et al.
- Image Data Explorer from Muller C et al.
- ExPanD from Joachim Gassen
- Exploratory from Jin Kim
Google Data Studio (Looker Studio)
Free, works in browser, can connect to CSV/Sheets/BigQuery. Very interactive dashboards.Plotly Chart Studio
Online version of Plotly → drag & drop or upload CSV, make interactive scatterplots, heatmaps, 3D plots.RAWGraphs (https://rawgraphs.io/
Napari hub (cloud instances via Binder or Google Colab)
You can run napari in the browser via Colab or mybinder.org → no local install.JupyterLite / JupyterLab in the browser
Runs Python + visualization libraries (plotly, bokeh, altair) directly in your browser, no installation.Observable (https://observablehq.com/
Trust your eyes
First thing you should do: Open few images and look at them.