Claire M. Mulvey

Serval: A modular framework for decoding imaging based spatial transcriptomics data

Serval is a modular framework for decoding spatial transcriptomics data that introduces Cosine, a method improving transcript recovery and correlation with expression references.

4D spatial transcriptomics reveals nodule identity emerges through stacked parallel developmental programs

This paper presents a 4D spatial transcriptomic atlas of Medicago truncatula nodules and lateral roots, revealing how nodule identity emerges through stacked developmental programs.

Robust Consensus Nuclear and Cell Segmentation

This paper introduces a segmentation software wrapper that combines multiple existing methods to produce an optimized mask for cell segmentation.

Expansion Sequencing: Spatially Precise In Situ Transcriptomics in Intact Biological Systems

ExSeq enables multiplexed RNA mapping at nanoscale resolution by expanding biological specimens for in situ sequencing.

A Bayesian Mixture Modelling Approach For Spatial Proteomics

This paper introduces a Bayesian mixture model for spatial proteomics to probabilistically assign proteins to sub-cellular locations and quantify uncertainty in classification.

LOPIT-DC: A simpler approach to high-resolution spatial proteomics

The paper introduces LOPIT-DC, a simplified spatial proteomics method, and compares it with hyperLOPIT, highlighting suborganellar resolution and isoform-specific niches in human cells.