Spring arrived at our @HelmholtzMunich research Center (in front of PioneerCampus & Diabetes Center, respectively). First outdoor lunch for @Meier_Lab (note the energising spring bulbs/flowers left hand side corner).🌼☀️
Neubau am Helmholtz Zentrum München soll Pioniergeist wecken | via @BR24
In the end our part was cut from the final segment, but here's the report from BR about the opening of our beautiful new @PioneerCampus building!
https://t.co/RmB5uLO270
Check out a little clip that the @BR_Presse made in our lab - today (Wed, 12.07.) at "Rundschau", 18:30.
We talk about our science and how the new @PioneerCampus building will impact our collaborative work environment!
I am excited to present multiplexed Deterministic Barcoding in Tissue (xDBiT)🎊. As an extension of #DBiTseq it allows the generation of #spatial#transcriptomics datasets of nine fixed tissue sections in parallel. Paper finally out on @NatureComms📜https://t.co/DfY0UXjBAa 1/6
Dr. Matthias Meier (@Meier_Lab) ist seit Kurzem Professor für Biochemische Zelltechnologie. Er forscht daran, menschliche Organe mittels Stammzellen außerhalb des Körpers nachzubauen, um Therapien für metabolische Krankheiten zu entwickeln. #UniLeipzig: https://t.co/tgRMeGm7YB
🎓PhD - done ✔️🥳
Many thanks to the @Meier_Lab, @PioneerCampus and @LabWolfrum for supporting me all the way through! It’s been a wonderful and exciting journey - I learned a lot, met inspiring #scientists, and had the most amazing colleagues 🤩🔬🧫💻💃🏼
📢Research Highlight🧪:
Organ-on-a-Chip
❗️The number of possible applications for micro-organs is immense. Fundamental #research and #stemCells for cell replacement therapy are just two examples.
👉Learn more in our story:
📑https://t.co/yKVfyftjer
#diabetes#organoids
Extremely proud😊 Summa Cum Laude for our first @PioneerCampus Graduate
Sandra Wiedenmann @Meier_Lab🎇🎉🥂
✅VIP @natBME paper https://t.co/XTGsmxNoWz
✅hum pancr. duct-like organoids for unmatched insights into deadly #cancer
✅achieved in time & style👏
https://t.co/WiIEXZvObG
More📜!
Introducing #Bright2Nuc: A label-free 👨💻#deeplearning method to predict in-silico nuclear staining from just bright-field images of on-chip 3D #iPS cultures! (Morphology - Differentiation - Tracking)➡️https://t.co/iybwszixB5
Great work by Scott Atwell and @dominik_waibel.
With #Bright2Nuc predictions, coupled with #StarDist for segmentations, we can predict the differentiation state of the stem cells directly from the bright-field images, without the need for any additional stainings.
I am very happy to present multiplexed Deterministic Barcoding in Tissue (xDbit)🎊. As an extension of #DBiTseq it allows the generation of #spatial#transcriptomics datasets of nine fixed tissue sections in parallel. Preprint is now out on biorxiv📜: https://t.co/4OESTDLz3z. 1/4