1/ A PhD milestone 👏 My work on comparing neighbor preference methods for spatial data analysis is out in Nature Communications. We compared 9+ neighbor preference methods and propose a new approach that combines the most relevant analysis features: COZI. Read more: www.nature.com/articles/s41...

Comparison and optimization of cellular neighbor preference methods for quantitative tissue analysis - Nature Communications

Schiller and colleagues present a systematic comparison of methods that quantify whether pairs of cell types preferentially co-occur in tissues, highlighting their strengths and limitations. This stud...

nature.com

Never thought I'd co-first author a paper that appears on the screens on campus, that makes me very happy😃 www.cell.com/cell/fulltex... Check out the paper and get amazing summaries from the EMBL communications team and a thread by @chanyeong-kim.bsky.social

EMBL@embl.org · 6mo ago

In the largest study of its kind, scientists in the Bork Group at EMBL have found that a small subset of microbes can carry and transfer genes across disparate habitats, creating a planet-wide, interconnected network of microbiomes 🌍 🦠 🔗 Read more here: www.embl.org/news/science...

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...

biorxiv.org

If you missed @chiaraschiller.bsky.social’s talk at #EMBLSpatialBiology you can catch her at Poster 188 this evening

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...

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...

Postdoc – Computational Tissue Analysis (m/f/d)

karriere.klinikum.uni-heidelberg.de

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...

@chiaraschiller.bsky.social - Poster 149