K. Goda

Super homotypic targeting by exosome surface engineering

This paper enhances homotypic targeting by engineering exosome surfaces with lanthanides, significantly improving cell-exosome interactions and enabling new applications in diagnostics and therapy.

Flow zoometry of Drosophila

This paper introduces flow zoometry, a high-throughput screening method for Drosophila, enabling rapid, automated, and high-resolution analysis of whole animals.

Nucleotide binding is the critical regulator of ABCG2 conformational transitions

This study investigates how nucleotide binding regulates conformational transitions in ABCG2, showing it induces the inward-to-outward facing switch and interacts with substrate binding.

Optimal mating of Pinus taeda L. under different scenarios using differential evolution algorithm

AgMate, a differential evolution algorithm-based software, optimizes mating in Pinus taeda breeding to maximize genetic gain while controlling inbreeding, outperforming MateSel in genetic gain but not in inbreeding avoidance.

Quantitative live-cell imaging of secretion activity reveals dynamic immune responses

This paper introduces qLCI-S, a method for quantitative live-cell imaging of secretion activity, enabling single-cell analysis of cytokine secretion and transcriptome profiling of rare cell populations.

High-throughput Raman-activated cell sorting in the fingerprint region

This paper introduces a high-throughput Raman-activated cell sorting method in the fingerprint region, achieving ~50 cells per second with real-time label-free sorting of microalgal cells based on carotenoids and polysaccharide granules.

Virtual-freezing fluorescence imaging flow cytometry

This paper introduces a virtual-freezing fluorescence imaging flow cytometry method that enhances throughput without sacrificing sensitivity and spatial resolution, enabling high-dimensional analysis and classification.

Classification of platelet aggregates by agonist type

This paper introduces a method to classify platelet aggregates by agonist type using convolutional neural networks trained on high-throughput imaging data.