Author

Lucas Diedrich

h-index 1 View on Semantic Scholar

We have 3 of 8 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

AlphaPeptTools: scverse-native analysis of mass spectrometry-based proteomics

AlphaPeptTools is presented, a Python package for the analysis of MS-proteomics data built on the AnnData data structure of the scverse, which implements scalable and modular strategies for MS-data ingestion, quality control, preprocessing, and statistical analysis while seamlessly integrating with the scverse ecosyste...

Vincenth Brennsteiner, L. Diedrich, S. Ben-Moshe et al. · bioRxiv · 0 citations

Open access Jul 2026

Spatialproteomics: an interoperable toolbox for analyzing highly multiplexed fluorescence image data

This work demonstrates an end-to-end analysis from raw images to statistical characterization of how cell type composition and spatial distribution vary across indolent and aggressive lymphomas and presents a Python-based toolbox that supports end-to-end analysis of highly multiplexed imaging data.

Matthias Meyer-Bender, Harald Vöhringer, C. Schniederjohann et al. · Nature Methods · 1 citation

#protein folding Open access Aug 2026

In the same cell, the proteome defines cellular state and the transcriptome marks transitions

A scalable technology is introduced that quantifies thousands of proteins and transcripts in the same cell, separating RNA from protein by tip-based C18 capture and pairing full-length RNA sequencing with latest-generation mass spectrometry to yield deep proteome and transcriptome from the same cells.

M. Thielert, Enes Ugur, Maximilian Zwiebel et al. · bioRxiv · 1 citation