A5107701198- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Digital Holography and Microscopy
- Optical Coherence Tomography Applications
- Image Processing Techniques and Applications
- Consumer Retail Behavior Studies
- Photoacoustic and Ultrasonic Imaging
- Optical Imaging and Spectroscopy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Seismic Imaging and Inversion Techniques
- Nanoplatforms for cancer theranostics
- Nanoparticles: synthesis and applications
- Advanced Optical Sensing Technologies
- Hydraulic Fracturing and Reservoir Analysis
- Photosynthetic Processes and Mechanisms
- Microfluidic and Bio-sensing Technologies
- Advanced Optical Imaging Technologies
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Augmented Reality Applications
- Near-Field Optical Microscopy
- Supply Chain and Inventory Management
- Phytase and its Applications
- Bioinformatics and Genomic Networks
- Nanofabrication and Lithography Techniques
- Surface Roughness and Optical Measurements
Tianjin University
2025
Wuhan National Laboratory for Optoelectronics
2018-2024
Huazhong University of Science and Technology
2018-2024
Fujian Medical University
2024
Union Hospital
2024
Children’s Village
2023
China Agricultural University
2023
Abstract Single-molecule localization microscopy (SMLM) can be used to resolve subcellular structures and achieve a tenfold improvement in spatial resolution compared that obtained by conventional fluorescence microscopy. However, the separation of single-molecule events requires thousands frames dramatically increases image acquisition time phototoxicity, impeding observation instantaneous intracellular dynamics. Here we develop deep-learning based single-frame super-resolution (SFSRM)...
Clarification of the cytotoxic function T cells is crucial for understanding human immune responses and immunotherapy procedures. Here, we report a high-throughput Bessel oblique plane microscopy (HBOPM) platform capable 3D live imaging phenotyping chimeric antigen receptor (CAR)-modified T-cell cytotoxicity against cancer cells. The HBOPM has following characteristics: an isotropic subcellular resolution 320 nm, large-scale scouting over 400 interacting cell pairs, long-term observation...
Though three-dimensional (3D) fluorescence microscopy has been an essential tool for modern life science research, the light scattering by biological specimens fundamentally prevents its more widespread applications in live imaging. We hereby report a deep-learning approach, termed ScatNet, that enables reversion of 3D from high-resolution targets to low-quality, light-scattered measurements, thereby allowing restoration blurred and image deep tissue. Our approach can computationally extend...
Although three-dimensional (3D) fluorescence microscopy is an essential tool for life science research, the fundamentally limited optical throughput, as reflected in compromise between speed and resolution, so far prevents further movement towards faster, clearer, higher-throughput applications. We herein report a dual-stage mutual-feedback deep-learning approach that allows gradual reversion of degradation from high-resolution targets to low-resolution images. Using single...
Background: Gastric cancer (GC) ranks as the fifth leading cause of mortality, with stem cells (CSCs) playing a critical role in tumor progression and resistance to chemotherapy. Conventional chemotherapy often fails effectively target these cells. BATF2, suppressor, is known for its gastric cancer, but influence on cell-like properties response remains unclear. Methods: Single-cell RNA sequencing (scRNA-seq) analysis was performed 9 samples evaluate expression regulatory function BATF2. In...
Bessel-like plane illumination forms a new type of light-sheet microscopy with ultra-long optical sectioning distance that enables rapid 3D imaging fine cellular structures across an entire large tissue. However, the side-lobe excitation conventional Bessel light sheets severely impairs quality reconstructed image. Here, we propose self-supervised deep learning (DL) approach can completely eliminate residual side lobes for double-ring-modulated non-diffraction microscope, thereby...
Various computational super-resolution methods are available based on the analysis of fluorescence fluctuation behind acquired frames. However, dilemmas often exist in balance fluorophore characteristics, computation cost, and achievable resolution. Here we present an approach that uses a radial fluctuations (SRRF) image to guide Bayesian blinking bleaching (3B) events, allowing greatly accelerated localization overlapping fluorophores with high accuracy. This (RFBA) is also extended three...
Abstract Clarification of the cytotoxic function T cells is crucial for understanding human immune responses and immunotherapy procedures. Here, we report an event-triggered Bessel oblique plane microscopy (EBOPM) platform capable smart 3D live imaging phenotyping chimeric antigen receptor (CAR)-modified T-cell cytotoxicity in cancer immunotherapy; EBOPM has following characteristics: isotropic subcellular resolution 320 nm, large-scale scouting over 400 interacting cell pairs, long-term...
Tissue-clearing techniques have revolutionized the field of biological imaging by rendering specimens transparent and enabling inside optical detection. Light-sheet fluorescence microscopy (LSFM) is a powerful tool for three-dimensional large samples. Combining tissue-clearing with LSFM has advanced efficient 3D visualization these A crucial challenge requirement objective to operate within clearing reagent, which can cause aberrations. To address this issue, we introduce novel, our...
Abstract Although three-dimensional (3D) fluorescence microscopy is an essential tool for life science research, the fundamentally-limited optical throughput, as reflected in compromise between speed and resolution, so far prevents further movement towards faster, clearer, higher-throughput applications. We herein report a dual-stage mutual-feedback deep-learning approach that allows gradual reversion of degradation from high-resolution targets to low-resolution images. Using single...
Abstract Though three-dimensional (3D) fluorescence microscopy has been an essential tool for modern life science research, the light scattering by biological specimens fundamentally prevents its more widespread applications in live imaging. We hereby report a deep-learning approach, termed ScatNet, that enables reversion of 3D from high-resolution targets to low-quality, light-scattered measurements, thereby allowing restoration single blurred and image deep tissue, with achieving improved...
Abstract Long-term visualization of the dynamic organelle-organelle or protein-organelle interactions throughout three-dimensional space whole live cells is essential to better understand their functions, but this task remains challenging due limitations existing fluorescence microscopy techniques, such as an insufficient axial resolution, low volumetric imaging rate, and photobleaching. Here, we present combination a progressive deep-learning superresolution strategy with...
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