Tomasz S. Kamiński

This paper introduces a microfluidic method to enrich and characterize proteolytic microbes from sewage sludge, showing higher strain diversity than traditional methods.

The paper identifies novel markers for CTC subtypes and introduces CTCeek, a tool to annotate bona fide CTCs from scRNA-seq data.

The paper uses droplet microfluidics to study the evolvability and robustness of ancestral and extant aryl sulfatases under varying mutation rates.

The paper introduces a microfluidic device called PicoSorter for high-throughput selection of cellulolytic microorganisms using droplet-based assays and sorting.

This paper introduces a microfluidic method called IDO for high-throughput, label-free screening of microbial proteolytic activity from wastewater sludge, showing improved efficiency and sensitivity compared to traditional methods.

This paper introduces a passive droplet microfluidic platform for high-throughput screening of microbial proteolytic activity, achieving 50-fold higher throughput than existing methods.

The paper combines microfluidic screening with machine learning to rapidly engineer biocatalysts, achieving 23-fold improvement in catalytic efficiency through sequence-function mapping.

spinDrop improves single-cell sequencing by reducing noise and increasing detection rates, enabling high-quality molecular atlases of mouse brain development and organogenesis.

The paper introduces VASA-seq, a method for total single-cell RNA-seq in mice, revealing non-coding RNA expression and alternative splicing during development.