Kevin K. Tsia

Generalizable Morphological Profiling of Cells by Interpretable Unsupervised Learning

MorphoGenie is an unsupervised deep-learning framework for morphological profiling of cells that learns interpretable, generalizable features without manual annotation or labeled data.

FACED 2.0 enables large-scale voltage and calcium imaging in vivo

The paper introduces FACED 2.0, a high-speed imaging technique that enables simultaneous voltage and calcium activity recording in vivo across large neuronal populations.

On-The-Fly Live-Cell Intrinsic Morphological Drug and Genetic Screens by Gigapixel-per-second Spinning Arrayed Disk Imaging

This paper introduces SpAD, a high-throughput label-free imaging platform for live-cell drug and genetic screens, enabling rapid, unbiased profiling of cellular responses.

StaVia: Spatially and temporally aware cartography with higher order random walks for cell atlases

StaVia integrates spatial and temporal data with higher-order random walks to improve cell lineage analysis and visualization in developmental atlases.

VIA: Generalized and scalable trajectory inference in single-cell omics data

VIA is a scalable trajectory inference method that accurately reconstructs complex cellular trajectories in large single-cell datasets, including cyclic and disconnected structures.

starmapVR: immersive visualisation of single cell spatial omic data

starmapVR provides an immersive visualization tool for single-cell and spatial omic data using VR, supporting 3D and 2.5D views with multiple interaction methods.

Kilohertz two-photon fluorescence microscopy imaging of neural activity in vivo

This paper demonstrates ultrafast two-photon fluorescence microscopy for in vivo neural activity imaging at high spatiotemporal resolution in awake mice.

PARC: ultrafast and accurate clustering of phenotypic data of millions of single cells

PARC is a scalable graph-based clustering algorithm for large single-cell datasets, outperforming existing methods in speed and rare population detection.