Takashi Kawase

The paper presents a spatial omics framework combining protein and RNA imaging with machine learning to classify brain cell types and discover structural features at tissue scale.

HortaCloud provides a cloud-based platform for collaborative whole-brain neuronal reconstruction from light microscopy data, enabling efficient analysis of large datasets without local hardware.

This paper introduces cycleHCR technology for high-resolution spatial transcriptomics and protein imaging in thick tissues, demonstrating its application in mouse embryos and brain slices.

The paper investigates how 3D genome organization, specifically through Cohesin, influences gene co-expression in single cells and reveals its role in maintaining long-range chromatin interactions.

NeuronBridge enables rapid morphological matching of neurons across large datasets imaged with different modalities.

The paper develops a method to rapidly reconstruct neural circuits with single synapse resolution using tissue expansion and lattice light sheet microscopy, validated in Drosophila.

The paper presents a detailed connectome of the adult Drosophila central brain, including new methods for data analysis and biological insights into neural circuit organization.

The paper maps Drosophila central brain lineages to show how lineage identity and temporal patterning drive neuronal diversity and complexity.

A dense electron-microscopy reconstruction of half the fly central brain, with nearly every cell typed and queryable online, turns months of tracing partners into a database lookup.

A Fiji plug-in matches expression patterns across thousands of Drosophila driver lines, so pairs whose overlap is restricted to a handful of neurons can be found by query.