A5020558731- Advanced Fluorescence Microscopy Techniques
- Optical Coherence Tomography Applications
- Cell Image Analysis Techniques
- Photoacoustic and Ultrasonic Imaging
- Atmospheric Ozone and Climate
- Food Allergy and Anaphylaxis Research
- Near-Field Optical Microscopy
- Mechanical and Optical Resonators
- Dermatology and Skin Diseases
- Advanced Fiber Laser Technologies
- Allergic Rhinitis and Sensitization
- Advanced Neural Network Applications
- Advanced Fiber Optic Sensors
- Climate variability and models
- Optical measurement and interference techniques
- Advanced Optical Sensing Technologies
- Calibration and Measurement Techniques
- Geochemistry and Geologic Mapping
- COVID-19 diagnosis using AI
- Atmospheric aerosols and clouds
- Image Processing Techniques and Applications
- AI in cancer detection
Zhejiang University
2019-2025
Langley Research Center
2012-2024
Zhejiang Lab
2023
Shanxi University
2019-2023
General Hospital of Shenyang Military Region
2023
State Key Laboratory of Modern Optical Instruments
2019
Imaging three-dimensional, subcellular structures with high axial resolution has always been the core purpose of fluorescence microscopy. However, trade-offs exist between and other important technical indicators, such as temporal resolution, optical power density, imaging process complexity. We report a new modality, interference structured illumination microscopy (FI-SIM), which is based on three-dimensional for wide-field lateral reconstruction. FI-SIM can acquire images quickly within...
Structured-illumination microscopy (SIM) offers a twofold resolution enhancement beyond the optical diffraction limit. At present, SIM requires several raw structured-illumination (SI) frames to reconstruct super-resolution (SR) image, especially time-consuming reconstruction of speckle SIM, which hundreds SI frames. Considering this, we herein propose an untrained neural network (USRNN) with known illumination patterns reduce amount data that is required for by 20 times and thus improve its...
Atopic dermatitis (AD) is a recurrent and chronic inflammatory skin condition characterized by high lifetime prevalence significant impairment of patients' quality life, primarily due to intense itching discomfort. However, current pharmacological interventions provide only moderate efficacy are frequently accompanied adverse side effects. The immune-pathogenesis AD involves dysregulation the Th2 immune response exacerbation inflammation related excessive reactive oxygen species (ROS)....
With the rapid advancements of Big Data and computer vision, many large-scale natural visual datasets are proposed, such as ImageNet-21K, LAION-400M, LAION-2B. These significantly improve robustness accuracy models in vision domain. However, field medical images continues to face limitations due relatively small-scale datasets. In this article, we propose a novel method enhance image analysis across domains by leveraging pre-trained on large Specifically, Cross-Domain Transfer Module (CDTM)...
Great effort has been devoted towards validating geophysical parameters retrieved from ultraspectral infrared radiances obtained satellite remote sensors. An error consistency analysis scheme (ECAS), utilizing fast radiative transfer model (RTM) forward and inverse calculations, developed to estimate the budget in terms of mean difference standard deviation both spectral radiance retrieval domains. The is assessed through ECAS without relying on other independent measurements such as...
Summary Here, we propose a novel imaging method, which is called image scanning difference microscopy (ISDM), for superresolution imaging. In ISDM, implement detector array composed of 19 avalanche photodiodes (APD) rather than single‐point in standard confocal reconstructing superresolved images with higher signal‐to‐noise ratio (SNR). Combining our former proposed fluorescence emission (FED) have achieved lateral resolution 111 nm (∼ λ /6) without the damage quality, highest FED to best...
As a supplement to optical super-resolution microscopy techniques, computational methods have demonstrated remarkable results in alleviating the spatiotemporal imaging trade-off. However, they commonly suffer from low structural fidelity and universality. Therefore, we herein propose deep-physics-informed sparsity framework designed holistically synergize strengths of physical models (image blurring processes), prior knowledge (continuity constraints), back-end optimization algorithm...
A novel vibration detection system based on directly modulated chirped pulses and a grating pair is proposed. Information of the obtained by demodulating phase change interference fringes from reflection pair. The has an operating frequency range 1 Hz to 30 kHz, difference in response between commercial accelerometer less than 1%. This provides sensitive high-speed scheme with wide range. At same time, it advantages low cost simple structure, making attractive option for various applications.
Fluorescence lifetime microscopy has been widely used in quantifying cellular interaction or histopathological identification of different stained tissues. A novel, to the best our knowledge, approach for high-throughput multiplexed fluorescence imaging is presented. To establish a acquisition system, uniformed illumination optical focus array was generated by novel computer-generated hologram algorithm based on matrix triple product. This, conjunction with an detector and multichannel...