Open Laboratory Notebook

Scientific blogging as open laboratory notebook

This is a way for me to post regularly about the process of my research without having to rely on positive results to tell a story. I will try to share concise how-to guides (some more conceptual and others more technical) about what I do, directly and indirectly, during my research. In short, I will try to compile short and readable stories about actual notes in my laboratory notebook.

Sure, you can just wait a while and then check my publications, but here you may find some interesting methods that never made it to a final publication, some insights into the behind the scenes process towards that specific publication, as well as (let’s not jinx it) some negative results. Please get in touch if you are looking for details.

Refining your DeepLabCut Model – Learning from Mistakes

How to re-train your old model with new data using jupyter notebooks.

Training your first DeepLabCut Model – A step by step example

How to start your first DLC project using jupyter notebooks and google colab.

How to keep your Python code tidy with these 4 easy tips

Define functions, classes, modules and config files to upgrade your workflow in python.

Installing DeepLabCut - A three step guide

Getting started with DeepLabCut for markerless tracking.

A quick machine learning guide to analyze facial expressions

Upgrade your next zoom meeting with some facial expression analysis using unsupervised machine learning.