A5062227243- Cell Image Analysis Techniques
- Image Processing Techniques and Applications
- Advanced Fluorescence Microscopy Techniques
- Image Retrieval and Classification Techniques
- Advanced optical system design
- Advanced Optical Imaging Technologies
- Optical Coherence Tomography Applications
- Advanced Vision and Imaging
- Photoacoustic and Ultrasonic Imaging
- Mineral Processing and Grinding
- Single-cell and spatial transcriptomics
Huazhong University of Science and Technology
2021-2024
Wuhan National Laboratory for Optoelectronics
2023-2024
Huazhong University of Science and Technology Hospital
2020
One intrinsic yet critical issue that troubles the field of fluorescence microscopy ever since its introduction is unmatched resolution in lateral and axial directions (i.e., anisotropy), which severely deteriorates quality, reconstruction, analysis 3D volume images. By leveraging natural anisotropy, we present a deep self-learning method termed Self-Net significantly improves images by using from same raw dataset as rational targets. incorporating unsupervised learning for realistic...
Environmental Microorganism Data Set Fifth Version (EMDS-5) is a microscopic image dataset including original (EM) images and two sets of Ground Truth (GT) images. The GT include single-object set multi-object set. EMDS-5 has 21 types EMs, each which contains 20 EM images, can realize to evaluate preprocessing, segmentation, feature extraction, classification retrieval functions. In order prove the effectiveness EMDS-5, for function, we select most representative algorithms price indicators...
Using an on-the-fly scanning scheme, line confocal microscopy can obtain complex structures of large biological tissues with high throughput. Yet, it suffers from lateral imaging asymmetry and thus introduces the potential deformations observation results. Here, we propose cross-line illumination (cLIM) that acquires data two perpendicular directions simultaneously through same objective lens in a utilizes two-direction deconvolution fusion to achieve symmetric performance. Imaging...
In multicolor fluorescence microscopy, it is crucial to orient biological structures at a single-cell resolution based on precise anatomical annotations of cytoarchitecture images. However, during synchronous imaging, due spectral mixing, the crosstalk from blue signals 4′,6-diamidino-2-phenylindole (DAPI)-stained images green waveband hinders visualization and identification signals. Here, we proposed deep learning-based framework named elimination enhancement pipeline (CECEP)...
Environmental Microorganism Data Set Fifth Version (EMDS-5) is a microscopic image dataset including original (EM) images and two sets of Ground Truth (GT) images. The GT include single-object set multi-object set. EMDS-5 has 21 types EMs, each which contains 20 EM images, can realize to evaluate preprocessing, segmentation, feature extraction, classification retrieval functions. We select the most representative algorithms price indicators for testing evaluation. preprocessing functions...