🔬🧪🧠⚡ I am extremely happy to announce that our paper on imaging #brain glucose #metabolism using metabolic #MRI in a 🐀 rat model of ischemic stroke is now published in #JCBFM (journals.sagepub.com/doi/10.1177/...). #OpenAccess #OpenData Check the🧵 🤓 #NeuroSky ⏬⏬

We use Chemical Exchange-sensitive Spin-Lock (CESL)) #MRI of 2-deoxy-glucose to quantify glucose utilization in stroke. We find that the metabolic stroke core is smaller than when quantified based on blood flow imaging. This has been known from PET imaging, and it’s great to replicate this with MRI.

onlinelibrary.wiley.com/doi/10.1111/...

We also discuss why considering #circadian rhythms is important for successful translation of preclinical research into clinical practice in #stroke, and if time-of-day or patients' #chronotypes are relevant for treatment decisions.

We discuss how the pathophysiological mechanisms in #stroke such as celll death #apoptosis, #neuroinflammation, and #mitochondria & #metabolism are under the influence of #circadian rhythms.

We also provide a tool to identify individual #organoids in a large image stack. This tool can also be used for data reduction.

You don’t have to guess the number of clusters in your data! We implemented an angle-based method for knee point detection for automatically determining the number of clusters, and you can show the composition of the clusters using pie charts. #clustering #MachineLearning

We also investigate the phenotypic heterogeneity of MCF10A human mammary gland #organoids expressing various #oncogenes, which is an #organoid model of #BreastCancer. #oncogene

We showed that segmentation-independent #ShallowLearning of #3D features gives comparable results to supervised classification using cell segmentation, and curated and manually optimized feature sets.

Phindr3D doesn’t require segmentation of cells to learn #3D features from the microscopy image data set. #MachineLearning #BioImageAnalysis

As my first post, I am reposting from Twitter our Phindr3D (slightly rewritten).
#BioimageTooloftheDay. Phindr3D is a comprehensive #ShallowLearning framework for automated quantitative phenotyping of #3D #HighContentScreening images. Still valuable in the age of (un)explainable #deeplearning.😉