Postdoc @FWOVlaanderen with @MAtrix_KULeuven | Mechanobiology | Image analysis | Leader of SciComm @CEBE_Belgica | Member of student committee @ESBiomech
Apr 4, 2023 • 14 tweets • 6 min read
Hello!
📢A new paper in which I collaborated with the group of @Rocha_Lab is now available in @PNASNews !!!
1/13- I always thought that synthetic hydrogels were relatively limited in terms of how physiologically representative they are.
2/13 - Synthetic hydrogels are typically linear elastic, which is cool, because it makes my life easier while doing Traction Force Microscopy (TFM) on them 🤓... but they don't display strain stiffening characteristics as they are non-fibrous.
Oct 15, 2022 • 21 tweets • 14 min read
Last April I defended my #PhD at @KU_Leuven, in which I developed ways of looking at the #Force within your cells...
(1/20) 🧵In this #ThesisThread I will tell you exactly how I did it...
(2/20) No, at least in our galaxy, our cells do not have #midichlorians. But all ~30 trillion cells of your body are able to:
🔍Change their behavior if they #feel changes in the forces around them...
💪Exert #forces to move or to explore the environment
Jun 10, 2021 • 8 tweets • 5 min read
Hello!
(1/7)
I'm thrilled to share my new article in @SoftXJournal !!
We present TFMLAB! An open source Matlab toolbox for 4D #TractionForceMicroscopy. We put special focus on making it accessible, even if you are not good at programming! 💻🧐
sciencedirect.com/science/articl…
🧵👇
(2/7) There are many available open source codes to run 2D TFM, but what if you are now thinking of embedding your cells in a 3D matrix? You won't find that many #3DTFM codes out there that are easy to use without requiring you to be an expert programmer🧐💻
Mar 16, 2021 • 11 tweets • 4 min read
I'm very excited to share my very first paper!!💜
In our work in @ActaBio we propose a more sophisticated way of validating #3D#TractionForceMicroscopy methods and we apply our novel inverse method to an in vitro model of #angiogenesis (1/10)
👇👇🧵
sciencedirect.com/science/articl…
Typically, TFM methods are validated under simplified scenarios (using simplified cell geometries, arbitrarily choosing force exertion points, or bypassing image processing steps). Here, we designed a simulation platform that is as close as possible to a real case. (2/10)
