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Optical Imaging

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An automatic parathyroid recognition and segmentation model based on deep learning of near-infrared autofluorescence imaging.

Cancer medicine
INTRODUCTION: Near-infrared autofluorescence imaging (NIFI) can be used to identify parathyroid gland (PG) during surgery. The purpose of the study is to establish a new model, help surgeons better identify, and protect PGs.

Machine and Deep Learning in Hyperspectral Fluorescence-Guided Brain Tumor Surgery.

Advances in experimental medicine and biology
Malignant glioma resection is often the first line of treatment in neuro-oncology. During glioma surgery, the discrimination of tumor's edges can be challenging at the infiltration zone, even by using surgical adjuncts such as fluorescence guidance (...

Imaging Evaluation of Peritoneal Metastasis: Current and Promising Techniques.

Korean journal of radiology
Early diagnosis, accurate assessment, and localization of peritoneal metastasis (PM) are essential for the selection of appropriate treatments and surgical guidance. However, available imaging modalities (computed tomography [CT], conventional magnet...

Deep Learning Empowered Fresnel-based Lensless Fluorescence Microscopy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Miniaturized fluorescence microscopy has revolutionized the way neuroscientists study the brain in-vivo. Recent developments in computational lensless imaging promise a next generation of miniaturized microscopes in lensless fluorescence microscopy. ...

Differentiating single cervical cells by mitochondrial fluorescence imaging and deep learning-based label-free light scattering with multi-modal static cytometry.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Cervical cancer is a high-risk disease that threatens women's health globally. In this study, we developed the multi-modal static cytometry that adopted different features to classify the typical human cervical epithelial cells (H8) and cervical canc...

Image restoration for blurry optical images caused by photon diffusion with deep learning.

Journal of the Optical Society of America. A, Optics, image science, and vision
Optical macroscopic imaging techniques have shown great significance in the investigations of biomedical issues by revealing structural or functional information of living bodies through the detection of visible or near-infrared light derived from di...

Robot-assisted pericystectomy using Da Vinci Xi surgical system with indocyanine green fluorescence imaging for hepatic cystic echinococcosis.

Asian journal of surgery
OBJECT: The clinical efficacy of robot-assisted laparoscopic pericystectomy using the Da Vinci Xi surgical system plus indocyanine green(ICG) fluorescence imaging and the conventional laparotomy for en bloc pericystectomy was compared.

Challenges and advances in optical 3D mesoscale imaging.

Journal of microscopy
Optical mesoscale imaging is a rapidly developing field that allows the visualisation of larger samples than is possible with standard light microscopy, and fills a gap between cell and organism resolution. It spans from advanced fluorescence imaging...

Investigation of image plane for image reconstruction of objects through diffusers via deep learning.

Journal of biomedical optics
SIGNIFICANCE: The imaging of objects hidden in light-scattering media is a vital practical task in a wide range of applications, including biological imaging. Deep-learning-based methods have been used to reconstruct images behind scattering media un...

Neural Network Kalman Filtering for 3-D Object Tracking From Linear Array Ultrasound Data.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Many interventional surgical procedures rely on medical imaging to visualize and track instruments. Such imaging methods not only need to be real time capable but also provide accurate and robust positional information. In ultrasound (US) application...