AIMC Topic: Optical Imaging

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GMOPNet: A GAN-MLP two-stage network for optical properties measurement of kiwifruit and peaches with spatial frequency domain imaging.

Food chemistry Nov 8, 2024
Spatial frequency domain imaging (SFDI) is an imaging technique using spatially modulated illumination for measurement of optical properties. Conventional SFDI methods require capturing at least six images, making it time-consuming. This study presen...
Optical Imaging Actinidia Prunus persica Neural Networks, Computer Fruit
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AI-driven precision subcellular navigation with fluorescent probes.

Journal of materials chemistry. B Nov 6, 2024
Precise navigation within intricate biological systems is pivotal for comprehending cellular functions and diagnosing diseases. Fluorescent molecular probes, designed to target specific biological molecules, are indispensable tools for this endeavor....
Humans Artificial Intelligence Animals Fluorescent Dyes Optical Imaging
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Optimization and correction of breast dynamic optical imaging projection data based on deep learning.

Computational biology and chemistry Oct 17, 2024
Breast cancer poses a significant health threat to women, necessitating advancements in diagnostic technologies. Breast dynamic optical imaging (DOI) technology, recognized for its non-invasive and radiation-free properties, is extensively utilized f...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Female Breast Breast Neoplasms Optical Imaging Deep Learning
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Fusion of visible and fluorescence imaging through deep neural network for color value prediction of pelletized red peppers.

Journal of food science Oct 11, 2024
A non-destructive method for determining the color value of pelletized red peppers is crucial for pepper processing factories. This study aimed to investigate the potentiality of visible and fluorescence images for the determination of color value of...
Optical Imaging Image Processing, Computer-Assisted Capsicum Color Neural Networks, Computer Fruit Fluorescence
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Deep learning-enabled fluorescence imaging for surgical guidance: training for oral cancer depth quantification.

Journal of biomedical optics Sep 18, 2024
SIGNIFICANCE: Oral cancer surgery requires accurate margin delineation to balance complete resection with post-operative functionality. Current fluorescence imaging systems provide two-dimensional margin assessment yet fail to quantify tumor depth p...
Humans Neural Networks, Computer Phantoms, Imaging Computer Simulation Surgery, Computer-Assisted Margins of Excision Deep Learning Mouth Neoplasms Image Processing, Computer-Assisted Optical Imaging
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Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning.

Nature communications Sep 12, 2024
Systemic amyloidosis involves the deposition of misfolded proteins in organs/tissues, leading to progressive organ dysfunction and failure. Congo red is the gold-standard chemical stain for visualizing amyloid deposits in tissue, showing birefringenc...
Plaque, Amyloid Birefringence Microscopy, Polarization Microscopy, Fluorescence Humans Amyloidosis Amyloid Deep Learning Optical Imaging Staining and Labeling Congo Red Myocardium
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Shot-Noise Limited Nonlinear Optical Imaging Excited With GHz Femtosecond Pulses and Denoised by Deep-Learning.

Journal of biophotonics Sep 1, 2024
Multiphoton fluorescence microscopy excited with femtosecond pulses at high repetition rates, particularly in the range of 100's MHz to GHz, offers an alternative solution to suppress photoinduced damage to biological samples, for example, photobleac...
Image Processing, Computer-Assisted Nonlinear Dynamics Signal-To-Noise Ratio Deep Learning Time Factors Optical Imaging Humans Animals
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Perovskite Probe-Based Machine Learning Imaging Model for Rapid Pathologic Diagnosis of Cancers.

ACS nano Aug 20, 2024
Accurately distinguishing tumor cells from normal cells is a key issue in tumor diagnosis, evaluation, and treatment. Fluorescence-based immunohistochemistry as the standard method faces the inherent challenges of the heterogeneity of tumor cells and...
Calcium Compounds Optical Imaging Oxides Humans Titanium Machine Learning Fluorescent Dyes Neoplasms Nanoparticles
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Clinical-Grade Validation of an Autofluorescence Virtual Staining System With Human Experts and a Deep Learning System for Prostate Cancer.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jul 26, 2024
The tissue diagnosis of adenocarcinoma and intraductal carcinoma of the prostate includes Gleason grading of tumor morphology on the hematoxylin and eosin stain and immunohistochemistry markers on the prostatic intraepithelial neoplasia-4 stain (CK5/...
Prostatic Neoplasms Optical Imaging Deep Learning Humans Neoplasm Grading Staining and Labeling Microscopy, Fluorescence Male Adenocarcinoma Prostatic Intraepithelial Neoplasia Image Interpretation, Computer-Assisted Immunohistochemistry
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Convolutional neural network advances in demosaicing for fluorescent cancer imaging with color-near-infrared sensors.

Journal of biomedical optics Jul 23, 2024
SIGNIFICANCE: Single-chip imaging devices featuring vertically stacked photodiodes and pixelated spectral filters are advancing multi-dye imaging methods for cancer surgeries, though this innovation comes with a compromise in spatial resolution. To m...
Humans Neural Networks, Computer Neoplasms Optical Imaging Spectroscopy, Near-Infrared Image Processing, Computer-Assisted Color
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