A5033063388- Photoacoustic and Ultrasonic Imaging
- Advanced Fluorescence Microscopy Techniques
- Optical Coherence Tomography Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Nanoplatforms for cancer theranostics
- Nanoparticle-Based Drug Delivery
- Extracellular vesicles in disease
- Ovarian cancer diagnosis and treatment
- Ultrasound and Hyperthermia Applications
- Gastric Cancer Management and Outcomes
- Radiomics and Machine Learning in Medical Imaging
- Dermatologic Treatments and Research
- S100 Proteins and Annexins
- Colorectal Cancer Surgical Treatments
- Cell Image Analysis Techniques
- Intraperitoneal and Appendiceal Malignancies
- Cancer-related molecular mechanisms research
- Traumatic Brain Injury and Neurovascular Disturbances
- RNA Interference and Gene Delivery
- Thermoregulation and physiological responses
- Systemic Lupus Erythematosus Research
Tan Kah Kee Innovation Laboratory
2024
Xiamen University
2021-2024
First Affiliated Hospital of Xiamen University
2024
Jimei University
2020-2021
Fujian Normal University
2018-2021
Fuzhou University
2019
Accurate prediction of peritoneal metastasis for gastric cancer (GC) with serosal invasion is crucial in clinic. The presence collagen the tumour microenvironment affects cells. Herein, we propose a signature, which composed multiple features serosa derived from multiphoton imaging, to describe extent alterations. We find that high signature significantly associated risk (P < 0.001). A competing-risk nomogram including size, differentiation status and lymph node constructed. demonstrates...
In the case of hepatocellular carcinoma (HCC) samples, classification differentiation is crucial for determining prognosis and treatment strategy decisions. However, a label‐free automated system HCC grading has not been yet developed. Hence, in this study, we demonstrate fusion multiphoton microscopy deep‐learning algorithm classifying to produce an innovative computer‐aided diagnostic method. Convolutional neural networks based on VGG‐16 framework were trained using 217 combined two‐photon...
Abstract Ovarian cancer is currently one of the most common cancers female reproductive organs, and its mortality rate highest among all types gynecologic cancers. Rapid accurate classification ovarian plays an important role in determination treatment plans prognoses. Nevertheless, commonly used method based on histopathological specimen examination, which time‐consuming labor‐intensive. Thus, this study, we utilize radiomics feature extraction methods automated machine learning tree‐based...
Regarding growth pattern and cytological characteristics, borderline ovarian tumors fall between benign malignant, but they tend to develop malignancy. Currently, it is difficult accurately diagnose cancer using common medical imaging methods, histopathological examination routinely used obtain a definitive diagnosis. However, such requires experienced pathologists, being labor-intensive, time-consuming, possibly leading interobserver bias. By second-harmonic generation k-nearest neighbors...
SignificanceRapid diagnosis and analysis of human keloid scar tissues in an automated manner are essential for understanding pathogenesis formulating treatment solutions.AimOur aim is to resolve the features extracellular matrix automatically accurate with aid machine learning.ApproachMultiphoton microscopy was utilized acquire images collagen elastin fibers. Morphological features, histogram, gray-level co-occurrence matrix-based texture were obtained produce a total 28 features. The...
Cerebral ischemia-reperfusion injury (CIRI) is a major challenge to neuronal survival in acute ischemic stroke (AIS). However, effective neuroprotective agents remain be developed for the treatment of CIRI. In this work, we have an Anti-TRAIL protein-modified and indocyanine green (ICG)-responsive nanoagent (Anti-TRAIL-ICG) target areas then reduce CIRI rescue penumbra. vitro vivo experiments demonstrated that carrier-free can enhance drug transport across blood-brain barrier (BBB) mice,...
The clear and accurate understanding of the degree hepatocellular-carcinoma (HCC) differentiation plays a key role in determination patient prognosis development treatment plan by clinician. However, label-free automated classification HCC grading is challenging. Here, we demonstrate second-harmonic generation (SHG) microscopy for paraffin-embedded specimens. A total 217 images from 113 patients were obtained using SHG microscopy, signals collagen within tumor analyzed feature extraction...
Tumor angiogenesis is a complex process that unamenable to intravital whole-process monitoring, especially on microscopic assessment of tumor microvessel and quantifying microvascular hemodynamics before after the nanotherapeutics, which hinder understanding nanotheranostics outcomes in treatment. Herein, new photoacoustic (PA) imaging-optical coherence tomography angiography (OCTA)-laser speckle (LS) multimodal imaging strategy first proposed, not only able precisely macro guide...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
SignificanceNeural regulation at high precision vitally contributes to propelling fundamental understanding in the field of neuroscience and providing innovative clinical treatment options. Recently, photoacoustic brain stimulation has emerged as a cutting-edge method for precise neuromodulation shows great potential application.AimThe goal this perspective is outline advancements recent years. And, we also provide an outlook delineating several prospective paths through which burgeoning...
Gastric cancer, one of the most common malignant tumors that can affect digestive system, poses a serious threat to human life. The survival rate gastric cancer patients depends on early detection and treatment. widespread adoption endoscopy has improved cancer. Accurate preoperative diagnosis is key developing individualized treatment strategies. Here, nonlinear optical microscopy (NLOM) used differentiate between normal mucosae those with Furthermore, quantitative relationship submucosal...