AIMC Topic: Optical Imaging

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Image2InChI: Automated Molecular Optical Image Recognition.

Journal of chemical information and modeling
The accurate identification and analysis of chemical structures in molecular images are prerequisites of artificial intelligence for drug discovery. It is important to efficiently and automatically convert molecular images into machine-readable repre...

Applications of machine learning in time-domain fluorescence lifetime imaging: a review.

Methods and applications in fluorescence
Many medical imaging modalities have benefited from recent advances in Machine Learning (ML), specifically in deep learning, such as neural networks. Computers can be trained to investigate and enhance medical imaging methods without using valuable h...

FastCellpose: A Fast and Accurate Deep-Learning Framework for Segmentation of All Glomeruli in Mouse Whole-Kidney Microscopic Optical Images.

Cells
Automated evaluation of all glomeruli throughout the whole kidney is essential for the comprehensive study of kidney function as well as understanding the mechanisms of kidney disease and development. The emerging large-volume microscopic optical ima...

Color-coded laparoscopic liver resection using artificial intelligence: A preliminary study.

Journal of hepato-biliary-pancreatic sciences
Tashiro and colleagues demonstrated for the first time that an artificial intelligence system can precisely identify intrahepatic vascular structures during laparoscopic liver resection in real time through color coding under bleeding and indocyanine...

Indocyanine green-based fluorescence imaging improved by deep learning.

Journal of biophotonics
Intraoperative identification of malignancies using indocyanine green (ICG)-based fluorescence imaging could provide real-time guidance for surgeons. Existing ICG-based fluorescence imaging mostly operates in the near-infrared (NIR)-I (700-1000 nm) o...

Real-time fluorescence imaging flow cytometry enabled by motion deblurring and deep learning algorithms.

Lab on a chip
Fluorescence imaging flow cytometry (IFC) has been demonstrated as a crucial biomedical technique for analyzing specific cell subpopulations from heterogeneous cellular populations. However, the high-speed flow of fluorescent cells leads to motion bl...

Indocyanine Green-Guided Near-Infrared Fluorescence Enhances Vascular Anatomy in Robot-Assisted DIEP Flap Harvest.

Plastic and reconstructive surgery
Indocyanine green-guided near-infrared fluorescence imaging has gained clinical acceptance lately. This technology can be particularly advantageous in the case of robotic flap harvest. This article presents a new approach to deep epigastric pedicle d...

Optical time-stretch imaging flow cytometry in the compressed domain.

Journal of biophotonics
Imaging flow cytometry based on optical time-stretch (OTS) imaging combined with a microfluidic chip attracts much attention in the large-scale single-cell analysis due to its high throughput, high precision, and label-free operation. Compressive sen...

Cell damage evaluation by intelligent imaging flow cytometry.

Cytometry. Part A : the journal of the International Society for Analytical Cytology
Essential thrombocythemia (ET) is an uncommon situation in which the body produces too many platelets. This can cause blood clots anywhere in the body and results in various symptoms and even strokes or heart attacks. Removing excessive platelets usi...

Interpretation and clinical utility of indocyanine-green fluorescence imaging (IFI) in robot-assisted anorectal-function saving operations (ASOs): A propensity-score matched analysis of 872 prospectively enroled patients undergoing IFI.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study suggested a novel physiological evaluation of indocyanine-green fluorescence imaging (IFI), and its utility associated with anastomotic leakage/stricture (AL/AS) and prognosis.