Randall E. Brand

High-Sensitive Spatial Proteomics for Pancreatic Cancer Progression Analysis

This study develops a high-sensitivity spatial proteomics method, SP-Max, to analyze protein expression changes in pancreatic tissues from normal to cancerous states.

Multiplexed Glycan Immunofluorescence Identification of Pancreatic Cancer Cell Subpopulations in Both Tumor and Blood Samples

This study identifies PDAC cancer cell subpopulations using multiplexed glycan immunofluorescence and shows consistent aberrant glycan signatures in both tumor and blood samples, improving detection beyond CA19-9 alone.

A multi-modal whole-slide image processing pipeline for quantitative mapping of tissue architecture, histopathology, and tissue microenvironment

The paper introduces a multi-modal image processing pipeline for quantitative spatial analysis of tissue architecture, histopathology, and microenvironment using multi-scale imaging techniques.

A Rigorous Multi-Laboratory Study of Known PDAC Biomarkers Identifies Increased Sensitivity and Specificity Over CA19-9 Alone

This study evaluates combinations of PDAC biomarkers across multiple labs, finding improved sensitivity and specificity for early-stage detection compared to CA19-9 alone.

UNSEG: unsupervised segmentation of cells and their nuclei in complex tissue samples

UNSEG provides an unsupervised method for segmenting cells and their nuclei in complex tissue samples without training data, outperforming deep learning methods in generalization and consistency.

Single-strand mismatch and damage patterns revealed by single-molecule DNA sequencing

This paper develops a single-molecule long-read sequencing method to detect single-strand DNA mismatches and damage, revealing their relationship to double-strand mutations and providing insights into mutation mechanisms in cancer and aging.