| Website | https://bsse.ethz.ch/cobi |
| Institution | ETH Zurich |
Congratulations to Roman Vetter from our group for winning an award in the @snf_ch #image #competition with one of his stunning videos of tissue growth:
https://www.flickr.com/photos/snsf_image_competition/52797439078/in/album-72177720307288892/
Stay tuned for his paper!!
We are looking for a #PhD student to extend our 3D cell-based #tissue #simulation framework:
https://twitter.com/DagmarIber/status/1641347393630224384
Not done with your #Master yet? Do your thesis with us & stay for a PhD:
https://twitter.com/DagmarIber/status/1628075320208228352
Come & join us @ETH @ETH_BSSE: https://jobs.ethz.ch/job/view/JOPG_ethz_X8X7dZDPDuq9Qy57Xd
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RT @DagmarIber
We have 2 #Master #thesis opportunities in our…
https://twitter.com/DagmarIber/status/1628075320208228352
RT @virtual_embryo
Can we predict cellular forces just from microscopy ?
We are happy to release a robust method by @SachaIchbiah to create 3D atlases of relative cell mechanics in embryos or tissues from fluorescent images of cell outlines:
https://tinyurl.com/5fj2c4b8
A thread (1/n)
Excited to introduce #SimuCell3D, an #opensource 3D cell-based model to simulate large and complex tissues at high resolution.
Check out our latest @biorxivpreprint https://doi.org/10.1101/2023.03.28.534574
A short summary thread about the software tool:🧵(1/9)
The protocol provides the step-by-step experimental methods for our @eLife paper "3D cell neighbour dynamics in growing pseudostratified epithelia" https://elifesciences.org/articles/68135.
See also our Tweetorial:
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RT @DagmarIber
How many neighbours does an epithelial cell have? And how stable are these interactions over time? #epithelialcell #topology #LSFM #SPIM
Check out our latest pre-print: https://www.biorxiv.org/content/10.…
https://twitter.com/DagmarIber/status/1368806675495452672
As theoretician, I am excited to share the 1st experimental protocols paper from my lab
"Time-lapse and cleared imaging of mouse embryonic lung explants to study 3D cell morphology and topology dynamics"
https://star-protocols.cell.com/protocols/2552
Thx @starprotocols for inviting this protocol!!
Organoids are self-organized three-dimensional (3D) multicellular tissue cultures which derive from cancerous and healthy stem cells, sharing a highly similarity to the corresponding in vivo organs. Since their introduction in 2009, they have emerged as a valuable model for studying early embryogenesis, organ and tissue development, as well as tools in drug screening, disease modeling and personalized therapy. Organoids can now be established for various tissues, including brain, retina, thyroid, gastrointestinal, lung, liver, pancreas, and kidney. These micro-tissues resemble the native organ in terms of gene expression, protein expression, tissue architecture and cell-cell interactions. Despite the success of organoid-based research and the advances in patient-derived organoid culture, important challenges remain. In this review, we briefly showcase the evolution from the primary 3D systems to complex, multilayered 3D structures such as assembloids, gastruloids and ETiX embryoids. We discuss current developments in organoid research and highlight developments in organoid culturing systems and analysis tools which make organoids accessible for high-throughput and high-content screening. Finally, we summarize the potential of machine learning and computational modeling in conjunction with organoid systems.
