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HenriquesLab/VLab4Mic

VLab4Mic: A Virtual Laboratory for Microscopy

A friendly toolkit to help researchers simulate fluorescence microscopy images, no coding required.

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VLab4Mic lets you explore, test, and validate imaging experiments before stepping into the microscope room.
Whether you are new to Python or an experienced bioimage researcher, VLab4Mic provides a safe sandbox to:

  • Build virtual samples from PDB/CIF structures
  • Apply direct or indirect fluorescent labeling
  • Introduce Structural integrity, crowding, and structural variation
  • Simulate image acquisition across modalities
  • Run parameter sweeps to explore experimental conditions
  • Compare noiseless vs. realistic acquisitions

This README is written to be friendly for beginners while maintaining the technical depth experienced users expect.

Who Is This Tool For?

  • New microscopy users: to gain intuitive understanding without coding
  • Researchers designing experiments: testing probes, PSFs, exposure times
  • Microscopy experts: benchmarking reconstruction methods or PSFs

πŸš€ Quick Start Options

Option Skills Needed Best For
1. Google Colab None Beginners, teaching, quick experiments
2. Local Jupyter Notebooks Basic installation Smooth widget-based use
3. Python Scripts Comfortable with code Full flexibility & automation

🟒 Option 1 β€” Google Colab (No Installation Needed)

The easiest way to start.

βœ” No installation
βœ” No configuration
βœ” Works in browser
βœ” Always up to date

πŸ‘‰ Click to open the main notebook:

Category Description Notebook Colab
Main Interface Create virtual samples & simulate imaging Notebook Open in Colab
Parameter Sweeps Configure & run simulation sweeps Notebook Open in Colab

Video Tutorials

Tutorial Video
Tutorial 1 Watch Tutorial 1
Tutorial 2 Watch Tutorial 2
Tutorial 3 Watch Tutorial 3

If the Colab link fails:

  1. Click the Jupyter badge (opens the raw notebook)
  2. Download the .ipynb file
  3. Open Google Colab β†’ File β†’ Upload notebook

πŸ”΅ Option 2 β€” Local Installation (Beginner-Friendly)

1️⃣ Create a virtual environment

We recommend using Python's built-in venv. Conda or a similar environment manager can also be used if you prefer.

Using venv:

Run the following command to create a local .venv environment:

python3 -m venv .venv

Then activate it:

source .venv/bin/activate

2️⃣ Install VLab4Mic and its associated library to use the codeless jupyter notebooks

pip install vlab4mic "vlab4micjupyter[local]"

VLab4Mic downloads required PDB/CIF structure files on first use and stores them in your user folder at ~/.vlab4mic/structures. To use a different location, set VLAB4MIC_STRUCTURE_DIR before running VLab4Mic.


3️⃣ Launch Jupyter Lab

jupyter lab

4️⃣ Download and open notebooks

From:
https://github.com/HenriquesLab/VLab4Mic/tree/main/notebooks


πŸ”΄ Option 3 β€” Use VLab4Mic as a Python Library (Advanced)

Example script:

from vlab4mic.experiments import image_vsample
import matplotlib.pyplot as plt

modalities = ["Widefield", "Confocal", "STED"]

images, noiseless, experiment = image_vsample(
    structure="7R5K",
    probe_template="Antibody",
    probe_target_type="Sequence",
    probe_target_value="ELAVGSL",
    multimodal=modalities,
    number_of_particles=10,
    run_simulation=True,
)

fig, axs = plt.subplots(1, len(modalities))
for i, mod in enumerate(modalities):
    axs[i].imshow(images[mod][0], cmap="magma")
    axs[i].set_title(mod)
plt.show()

For more examples see /examples.


Documentation & Manual


Core Features

βœ” Structural modelling

βœ” Virtual sample creation

βœ” Imaging simulations

βœ” Parameter sweeps

βœ” Widget-based GUI

βœ” Flexible Python API


Troubleshooting

Jupyter won't open β†’ Environment not activated.
ImportError β†’ Install VLab4Mic inside the active environment.
Colab won't load β†’ Upload notebook manually.

If issues persist, open an issue!


Contributing

Contributions welcome!
See: https://github.com/HenriquesLab/VLab4Mic/blob/main/CONTRIBUTING.md

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