Daria Buszta

From Transcripts to Cells: Dissecting Sensitivity, Signal Contamination, and Specificity in Xenium Spatial Transcriptomics

The paper evaluates Xenium spatial transcriptomics performance, identifies technical limitations, and introduces SPLIT to improve signal purity and cell-type resolution.

SMEW: An interactive multi-scale toolkit for cross-condition and network-based analysis of spatial metabolomics data

SMEW provides a code-free, interactive platform for analyzing spatial metabolomics data across multiple scales and conditions to identify metabolic patterns and biological pathways.

Transcriptome Analysis of Archived Tumor Tissues by Visium, GeoMx DSP, and Chromium Methods Reveals Inter- and Intra-Patient Heterogeneity

The paper compares three transcriptomic methods on FFPE tumor samples to assess their ability to detect inter- and intra-patient heterogeneity.