AIMC Topic: Optical Imaging

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Implementing machine learning methods for imaging flow cytometry.

Microscopy (Oxford, England)
In this review, we focus on the applications of machine learning methods for analyzing image data acquired in imaging flow cytometry technologies. We propose that the analysis approaches can be categorized into two groups based on the type of data, r...

A new method using machine learning for automated image analysis applied to chip-based digital assays.

The Analyst
Chip-based digital assays such as the digital polymerase chain reaction (digital PCR), digital loop-mediated amplification (digital LAMP), digital enzyme-linked immunosorbent assay (digital ELISA) and digital proximity ligation assay (digital PLA) ne...

Burn wound classification model using spatial frequency-domain imaging and machine learning.

Journal of biomedical optics
Accurate assessment of burn severity is critical for wound care and the course of treatment. Delays in classification translate to delays in burn management, increasing the risk of scarring and infection. To this end, numerous imaging techniques have...

Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks.

Journal of biomedical optics
For patients undergoing surgical cancer resection of squamous cell carcinoma (SCCa), cancer-free surgical margins are essential for good prognosis. We developed a method to use hyperspectral imaging (HSI), a noncontact optical imaging modality, and c...

Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging.

Journal of biomedical optics
Fast estimation of optical properties from reflectance measurements at two spatial frequencies could pave way for real-time, wide-field and quantitative mapping of vital signs of tissues. We present a machine learning-based approach for estimating op...

Deep learning model for ultrafast multifrequency optical property extractions for spatial frequency domain imaging.

Optics letters
Spatial frequency domain imaging (SFDI) is emerging as an important new method in biomedical imaging due to its ability to provide label-free, wide-field tissue optical property maps. Most prior SFDI studies have utilized two spatial frequencies (2-f...

Context encoding enables machine learning-based quantitative photoacoustics.

Journal of biomedical optics
Real-time monitoring of functional tissue parameters, such as local blood oxygenation, based on optical imaging could provide groundbreaking advances in the diagnosis and interventional therapy of various diseases. Although photoacoustic (PA) imaging...

Parallel lensless compressive imaging via deep convolutional neural networks.

Optics express
We report a parallel lensless compressive imaging system, which enjoys real-time reconstruction using deep convolutional neural networks. A prototype composed of a low-cost LCD, 16 photo-diodes and isolation chambers, has been built. Each of these 16...

Silica Cross-Linked Micellar Core--Shell Nanoparticles Encapsulating IR-780 with Strong Bright and Good Biocompatibility for Optical Imaging In Vivo.

Journal of biomedical nanotechnology
IR-780 iodide, a near-infrared (NIR) fluorescent heptamethine dye, has attracted wide attention in the biomedical community. However, hydrophobicity and toxicity severely limit its further biomedical application. Although many successful efforts have...