A5004527351- Retinal Imaging and Analysis
- Cancer, Hypoxia, and Metabolism
- Nanoplatforms for cancer theranostics
- Corneal Surgery and Treatments
- Hydrogels: synthesis, properties, applications
- Retinal and Optic Conditions
- Retinal Diseases and Treatments
- Ocular Surface and Contact Lens
- Social Media in Health Education
- Optical Imaging and Spectroscopy Techniques
- Mobile Health and mHealth Applications
- Biosensors and Analytical Detection
- Spectroscopy Techniques in Biomedical and Chemical Research
- Optical Coherence Tomography Applications
- Nasal Surgery and Airway Studies
- Gastrointestinal Bleeding Diagnosis and Treatment
- Graphene and Nanomaterials Applications
- Artificial Intelligence in Healthcare
- Advanced Optical Network Technologies
- Plant-based Medicinal Research
- Advanced Nanomaterials in Catalysis
- Advanced biosensing and bioanalysis techniques
- Pharmacological Receptor Mechanisms and Effects
- Supramolecular Self-Assembly in Materials
- Digital Imaging for Blood Diseases
Jinan University
2021-2024
Shenzhen University
2021-2022
Shandong Eye Hospital
2022
Medical College of Wisconsin
2017-2019
Marquette University
2017-2019
University of Akron
2016-2017
National Engineering Research Center of Electromagnetic Radiation Control Materials
2012
University of Electronic Science and Technology of China
2012
Tumor hypoxia reduces the effectiveness of radiation therapy by limiting biologically effective dose. An acute increase in tumor oxygenation before treatment should therefore significantly improve cell kill after radiation. Efforts to oxygen delivery have not shown positive clinical results. Here we show that targeting mitochondrial respiration results a significant reduction cells' demand for oxygen, leading increased and response. We identified an activity FDA-approved drug papaverine as...
We report a miniature, visible to near infrared G-Fresnel spectrometer that contains complete spectrograph system, including the detection hardware and connects with smartphone through microUSB port for operational control. The is able achieve resolution of ~5 nm in wavelength range from 400 1000 nm. further developed diffuse reflectance spectroscopy system using demonstrated capability hemoglobin measurement. Proof concept studies tissue phantoms yielded mean error 9.2% on concentration...
Tear meniscus height (TMH) is an important reference parameter in the diagnosis of dry eye disease. However, most traditional methods measuring TMH are manual or semi-automatic, which causes measurement to be prone influence subjective factors, time consuming, and laborious. To solve these problems, a segmentation algorithm based on deep learning image processing was proposed realize automatic TMH. accurately segment tear region, designed this study DeepLabv3 architecture combines partial...
Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment. Early accurate diagnosis essential for effective management. Recently, artificial intelligence (AI) has shown promising potential in assisting clinicians with pterygium diagnosis. This paper provides an overview of AI-assisted diagnosis, including the AI techniques used such as machine learning, deep computer vision. Furthermore, recent studies have evaluated diagnostic performance AI-based systems...
High resolution optical endoscopes are increasingly used in diagnosis of various medical conditions internal organs, such as the cervix and gastrointestinal (GI) tracts, but they too expensive for use resource-poor settings. On other hand, smartphones with high cameras Internet access have become more affordable, enabling them to diffuse into most rural areas developing countries past decade. In this paper, we describe a smartphone microendoscope that can take fluorescence images spatial 3.1...
Retinal vein occlusion (RVO) is the second common cause of blindness following diabetic retinopathy. The manual screening fundus images to detect RVO time consuming. Deep-learning techniques have been used for due their outstanding performance in many applications. However, unlike other images, medical smaller lesions, which require a more elaborate approach. To provide patients with an accurate diagnosis, followed by timely and effective treatment, we developed intelligent method automatic...
Abstract We report a nonconcurrent dual-modality fiber-optic microendoscope (named SmartME) that integrates quantitative diffuse reflectance spectroscopy (DRS) and high-resolution fluorescence imaging (FLI) into smartphone platform. The FLI module has spatial resolution of ~3.5 µm, which allows the determination nuclear-cytoplasmic ratio (N/C) epithelial tissues. DRS spectral ~2 nm can measure total hemoglobin concentration (THC) scattering properties tissues with mean errors 4.7% 6.9%,...
Purpose To assess the value of an automated classification model for dry and wet macular degeneration based on ConvNeXT model. Methods A total 672 fundus images normal, dry, were collected from Affiliated Eye Hospital Nanjing Medical University expanded. The three-category was trained original expanded datasets, compared to results VGG16, ResNet18, ResNet50, EfficientNetB7, RegNet models. 289 used test models, models different datasets compared. main evaluation indicators sensitivity,...
Abstract Tumor hypoxia is a characteristic feature of solid tumors. Low oxygen tension represents barrier to effective radiation therapy because required fix the DNA damage induced by ionizing radiation. Many strategies have been proposed as means increase radiosensitivity hypoxic tumors but clinical benefits disappointing. Finding an way radiosensitize thus major challenge for improving current protocols therapy. Decreasing demand within tumor has reduce hypoxia, reduced could lead...
Age-related macular degeneration (AMD) ranks third among the most common causes of blindness.As conventional and direct method for identifying AMD, color fundus photography has become prominent owing to its consistency, ease use, good quality in extensive clinical practice.In this study, a convolutional neural network (CSPDarknet53) was combined with transformer construct new hybrid model, HCSP-Net.This model employed tri-classify into normal macula (NM), dry (DMD), wet (WMD) based on...
AIM: To evaluate the application of an intelligent diagnostic model for pterygium. METHODS: For diagnosis pterygium, attention mechanisms—SENet, ECANet, CBAM, and Self-Attention—were fused with lightweight MobileNetV2 structure to construct a tri-classification model. The study used 1220 images three types anterior ocular segments pterygium provided by Eye Hospital Nanjing Medical University. Conventional classification models—VGG16, ResNet50, MobileNetV2, EfficientNetB7—were trained on same...
Physical principles of increasing gain recovery speed in 'turbo-switch' are analyzed ultrafast SOA numerical model. The influence operating conditions on is investigated.
High resolution optical endoscopes are increasingly used in diagnosis of various medical conditions internal organs, such as the gastrointestinal tracts, but they too expensive for use resource-poor settings. On other hand, smartphones with high cameras and Internet access have become more affordable, enabling them to diffuse into most rural areas developing countries past decade. In this letter we describe a smartphone microendoscope that can take fluorescence images spatial 3.1 {\mu}m....
Early detection is the key to prevention of cervical cancer. There an urgent need for a portable, affordable, and easy-to-use device pre-cancer detection, especially in low-resource settings. We have developed dual-modality fiber-optic endoscope system (SmartME) that integrates high-resolution fluorescence imaging (FLI) quantitative diffuse reflectance spectroscopy (DRS) onto smartphone platform. The SmartME consists smartphone, miniature endoscope, phone attachment containing optics,...
Abstract It has been recognized decades ago that lower oxygen tension decreases the efficiency of radiation therapy (RT). Strategies to clinically overcome hypoxia have disappointing. We addressed this issue by targeting tumor metabolism. “Metabolic radiosensitization” is a concept achieving temporary decrease in consumption (OCR) cells and therefore reduce prior RT. Inhibiting mitochondrial respiration will cause demand for turn lead providing therapeutic window deliver A number...
Abstract Radiation therapy is a standard type of treatment modality used to achieve local control in more than 50% all cancer patients. However, tumor hypoxia reduces the effectiveness radiation by limiting biologically effective dose. Limited distribution oxygen direct consequence abnormalities vascular structure and angiogenesis that fails provide sufficient meet demands metabolically hyperactive cells. An acute increase oxygenation prior should therefore significantly improve cell kill...
Radiation therapy is a standard type of treatment modality used to achieve local control in more than 50% all cancer patients. However, tumor hypoxia reduces the effectiveness radiation by limiting biologically effective dose. Limited distribution oxygen direct consequence abnormalities vascular structure and angiogenesis that fails provide sufficient meet demands metabolically hyperactive cells. An acute increase oxygenation prior should therefore significantly improve cell kill after...