With Feng Bao’s group, we built LABEL, a machine-learning pipeline for the pan-body annotation of organs, tissues, and cell types on H&E-stained whole-mouse sections.

Original publication: Clevenger et al., Cell, 2026

By combining custom DNA microarrays with next-generation sequencing, we built Array-seq, a low-cost, large-format (11.31 cm²) platform that brings spatial transcriptomics to H&E-stained sections without specialized expertise or instrumentation.

Original publication: Cipurko et al., Nature Methods, 2025.

By fragmenting RNA before barcoded oligo(dT) priming and pooling samples early, we built PME-seq (3-prime mRNA extension sequencing), a high-throughput, low-cost method for bulk RNA-seq from any sample, down to under 1 ng of input.

Original publications: Kadoki et al., Cell, 2017 & Pandey et al., Nature Protocols, 2020