Chiara Schiller
@chiaraschiller.bsky.social
PhD at Schapiro lab in Heidelberg | Spatial biology | Bioinformatics | Tissue organization
Reposted by Chiara Schiller
I am excited to share my first work in @schapirolab.bsky.social on Multiple Myeloma (MM) in collaboration with the Standal Lab from NTNU Norway. We use Imaging Mass Cytometry (IMC) on bone marrow biopsies from MM and precursor patients (details below): www.biorxiv.org/content/10.1...
Highly multiplexed imaging recovers immune and metabolic niches in multiple myeloma associated with disease progression and bone involvement
Multiple myeloma (MM) is a cancer arising from genetically aberrant plasma cells (PCs) that remain dependent on the bone marrow (BM) microenvironment for disease establishment and progression. Here, w...
www.biorxiv.org
September 13, 2025 at 8:25 AM
I am excited to share my first work in @schapirolab.bsky.social on Multiple Myeloma (MM) in collaboration with the Standal Lab from NTNU Norway. We use Imaging Mass Cytometry (IMC) on bone marrow biopsies from MM and precursor patients (details below): www.biorxiv.org/content/10.1...
Reposted by Chiara Schiller
If you missed @chiaraschiller.bsky.social’s talk at #EMBLSpatialBiology you can catch her at Poster 188 this evening
October 16, 2025 at 10:00 AM
If you missed @chiaraschiller.bsky.social’s talk at #EMBLSpatialBiology you can catch her at Poster 188 this evening
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Ever wondered how to best quantify cell-cell neighbor preferences in tissues?
We compared 9+ neighbor preference (NEP) methods for analysing spatial omics data and propose a novel approach that combines the most relevant analysis features which we call COZI 🔬✨
Read more: doi.org/10.1101/2025...
Ever wondered how to best quantify cell-cell neighbor preferences in tissues?
We compared 9+ neighbor preference (NEP) methods for analysing spatial omics data and propose a novel approach that combines the most relevant analysis features which we call COZI 🔬✨
Read more: doi.org/10.1101/2025...
April 15, 2025 at 3:50 PM
1/
Ever wondered how to best quantify cell-cell neighbor preferences in tissues?
We compared 9+ neighbor preference (NEP) methods for analysing spatial omics data and propose a novel approach that combines the most relevant analysis features which we call COZI 🔬✨
Read more: doi.org/10.1101/2025...
Ever wondered how to best quantify cell-cell neighbor preferences in tissues?
We compared 9+ neighbor preference (NEP) methods for analysing spatial omics data and propose a novel approach that combines the most relevant analysis features which we call COZI 🔬✨
Read more: doi.org/10.1101/2025...
Reposted by Chiara Schiller
We are searching for a highly motivated and talented computational postdoc with an interest in translational spatial omics to join our team in Heidelberg. Apply now!
karriere.klinikum.uni-heidelberg.de/index.php?ac...
karriere.klinikum.uni-heidelberg.de/index.php?ac...
Postdoc – Computational Tissue Analysis (m/f/d)
karriere.klinikum.uni-heidelberg.de
January 30, 2025 at 10:23 AM
We are searching for a highly motivated and talented computational postdoc with an interest in translational spatial omics to join our team in Heidelberg. Apply now!
karriere.klinikum.uni-heidelberg.de/index.php?ac...
karriere.klinikum.uni-heidelberg.de/index.php?ac...
Reposted by Chiara Schiller
Quentin Blampey, Lotte Pollaris, @clarencemah.me Laurens Lehner @chiaraschiller.bsky.social @miguelib.bsky.social
We worked on easing the learning curve of the SpatialData framework by improving the documentation and APIs. We prepared new beginner-friendly notebooks and introduced a new more...
We worked on easing the learning curve of the SpatialData framework by improving the documentation and APIs. We prepared new beginner-friendly notebooks and introduced a new more...
January 20, 2025 at 5:29 PM
Quentin Blampey, Lotte Pollaris, @clarencemah.me Laurens Lehner @chiaraschiller.bsky.social @miguelib.bsky.social
We worked on easing the learning curve of the SpatialData framework by improving the documentation and APIs. We prepared new beginner-friendly notebooks and introduced a new more...
We worked on easing the learning curve of the SpatialData framework by improving the documentation and APIs. We prepared new beginner-friendly notebooks and introduced a new more...
Reposted by Chiara Schiller
@chiaraschiller.bsky.social - Poster 149
December 12, 2024 at 2:58 PM
@chiaraschiller.bsky.social - Poster 149