P. Fei

High-plex spatial RNA imaging in one round with conventional microscopes using color-intensity barcodes

This paper introduces PRISM, a method for high-plex spatial RNA imaging using color intensity barcodes, validated across multiple tissues and showing the role of CAFs in tumor microenvironments.

3D live imaging and phenotyping of the subcellular cytotoxicity in cancer immunotherapy using event-triggered Bessel oblique plane microscopy

This study uses EBOPM to analyze subcellular events in CAR-T cells during immunotherapy, identifying key parameters correlated with cytotoxic function.

High-fidelity, generalizable light-field reconstruction of biological dynamics with physics-informed meta neural representation

This paper introduces LFMNR, a method for high-fidelity 3D reconstruction of biological dynamics using physics-informed neural representations and meta-learning, achieving improved resolution and speed.

Semantic redundancy-aware implicit neural compression for multidimensional biomedical image data

This paper introduces SINCS, a compression method for multidimensional biomedical images that improves efficiency and quality by leveraging semantic redundancy and saliency maps.

Adaptive-learning physics-aware light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics

This paper introduces Alpha-LFM, a physics-aware deep learning framework for 3D super-resolution imaging of living cells, achieving high resolution, speed, and low phototoxicity over long periods.

Deep-learning on-chip DSLM enabling video-rate volumetric imaging of neural activities in moving biological specimens

This paper develops a deep-learning enhanced on-chip DSLM system for high-speed volumetric imaging of neural activity in moving Drosophila larvae.

Multi-color 4D superresolution light-sheet microscopy reveals organelle interactions at isotropic 100-nm resolution and sub-second timescales

This study introduces a new microscopy technique combining deep learning and light-sheet design to visualize organelle interactions in live cells with high spatial and temporal resolution.

Automatic segmentation and cardiac mechanics analysis of evolving zebrafish using deep-learning

The paper develops a deep-learning method to segment and analyze cardiac mechanics in developing zebrafish, revealing incremental volume changes in ventricles and stable stroke volume in atria.

View-channel-depth light-field microscopy: real-time volumetric reconstruction of biological dynamics by deep learning

This paper introduces a deep learning method to improve light-field microscopy, enabling high-speed, artifact-free volumetric imaging of biological processes.

High-speed large-scale 4D activities mapping of moving C. elegans by deep-learning-enabled light-field microscopy on a chip

This paper develops a chip-based system combining microfluidics and light-field microscopy with deep learning to high-speed 4D image and analyze moving C. elegans.

Breaking the limit of 3D fluorescence microscopy by dual-stage-processing network

This paper introduces a dual-stage deep-learning network to enhance 3D fluorescence microscopy resolution and throughput, achieving faster imaging with improved contrast and subcellular detail.

A Hybrid of Light-Field and Light-Sheet Imaging to Decouple Myocardial Biomechanics from Intracardiac Flow Dynamics

This study combines light-field and light-sheet imaging to analyze myocardial biomechanics and intracardiac flow in zebrafish embryos, revealing decreased contractility from the AV canal to the outflow tract.

Network-enabled efficient image restoration for 3D microscopy of turbid biological specimens

This paper introduces ScatNet, a deep-learning method for restoring 3D fluorescence microscopy images of turbid biological specimens, improving resolution and signal-to-noise ratio.

Minutes-timescale 3D isotropic imaging of entire organs at subcellular resolution by content-aware compressed-sensing light-sheet microscopy

This paper introduces a computational light-sheet microscopy method that rapidly images entire organs at subcellular resolution, achieving high isotropic spatial resolution and significantly improved throughput.

Fast, 3D isotropic imaging of whole mouse brain using multi-1 angle-resolved subvoxel SPIM

The paper was withdrawn due to inaccurate descriptions of other techniques in the manuscript.

Lossless and Contamination-Free Digital PCR

This paper introduces CLEAR-dPCR, a lossless and contamination-free digital PCR technology that improves accuracy and dynamic range compared to existing platforms.

Generative adversarial network (GAN) enabled on-chip contact microscopy

This paper introduces a GAN-based contact microscopy method that achieves sub-micron resolution on a CMOS chip without lenses or multi-frame acquisition, demonstrating its use in imaging cell proliferation.