AIMC Topic: Refractometry

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Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning.

Scientific reports Jul 27, 2017
Identification of lymphocyte cell types are crucial for understanding their pathophysiological roles in human diseases. Current methods for discriminating lymphocyte cell types primarily rely on labelling techniques with magnetic beads or fluorescenc...
Machine Learning Mice Mice, Inbred C57BL Lymphocytes Animals Lymphocyte Activation Single-Cell Analysis Refractometry Tomography
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Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning.

Biomedical engineering online Apr 27, 2017
BACKGROUND: Reliable detection of central fixation and eye alignment is essential in the diagnosis of amblyopia ("lazy eye"), which can lead to blindness. Our lab has developed and reported earlier a pediatric vision screener that performs scanning o...
Birefringence Vision Screening Retinoscopy Amblyopia Adolescent Child, Preschool Child Refractometry Fixation, Ocular Sensitivity and Specificity Male Diagnosis, Computer-Assisted Young Adult Adult Humans Neural Networks, Computer Reproducibility of Results
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Towards human-controlled, real-time shape sensing based flexible needle steering for MRI-guided percutaneous therapies.

The international journal of medical robotics + computer assisted surgery : MRCAS Aug 4, 2016
BACKGROUND: Accurate needle placement into soft tissue is essential to percutaneous prostate cancer diagnosis and treatment procedures.
Robotics Equipment Design Injections Needles Image-Guided Biopsy Sensitivity and Specificity Feedback Computer Systems Transducers Humans Micro-Electrical-Mechanical Systems Reproducibility of Results Phantoms, Imaging Magnetic Resonance Imaging, Interventional Man-Machine Systems Equipment Failure Analysis Systems Integration Refractometry
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Genetic optimization of mid-infrared filters for a machine learning chemical classifier.

Optics express May 23, 2022
Miniaturized mid-infrared spectrometers present opportunities for applications that range from health monitoring to agriculture. One approach combines arrays of spectral filters with infrared photodetectors, called filter-array detector-array (FADA) ...
Machine Learning Refractometry
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3D time-lapse imaging of a mouse embryo using intensity diffraction tomography embedded inside a deep learning framework.

Applied optics Apr 20, 2022
We present a compact 3D diffractive microscope that can be inserted directly in a cell incubator for long-term observation of developing organisms. Our setup is particularly simple and robust, since it does not include any moving parts and is compati...
Tomography, X-Ray Computed Animals Deep Learning Time-Lapse Imaging Mice Refractometry Tomography
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Micro-scale fiber-optic force sensor fabricated using direct laser writing and calibrated using machine learning.

Optics express May 28, 2018
Fiber-optic sensors have numerous existing and emerging applications spanning areas from industrial process monitoring to medical diagnosis. Two of the most common fiber sensors are based on the fabrication of Bragg gratings or Fabry-Perot etalons. W...
Physical Phenomena Interferometry Fiber Optic Technology Calibration Equipment Design Neural Networks, Computer Equipment Failure Analysis Lasers Refractometry Machine Learning Writing
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Aspherical lens design using hybrid neural-genetic algorithm of contact lenses.

Applied optics Oct 1, 2015
The design of complex contact lenses involves numerous uncertain variables. How to help an optical designer to first design the optimal contact lens to reduce discomfort when wearing a pair of glasses is an essential design concern. This study examin...
Refraction, Ocular Myopia Refractive Errors Humans Refractometry Algorithms Equipment Design Neural Networks, Computer Astigmatism Materials Testing Computer Simulation Software Contact Lenses Vision, Ocular
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[Physical and antioxidant characteristics of black (Brassica nigra) and yellow mustard (Brassica alba) seeds and their products].

Archivos latinoamericanos de nutricion Jun 1, 2015
The composition, some physical properties (density, refraction index, and color), antioxidant capacity (DPPH), and fatty acid profile of seeds of black (Brassica nigra) or yellow mustard (Brassica alba) were evaluated, as well as for their oils and r...
Mustard Plant Antioxidants Plant Oils Refractometry Seeds Color Fatty Acids
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