Spectroreflectometric techniques for dactiloscopy and optical nail diagnostics are proposed and aproved on "DATACOLOR 3890"-based measuring system.
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Printed cirquit boards with charge coupled devices for on-chip lensless microscopes may be tested not in wetherometers and under solar simulators, but also under the experimental spectroreflectometric setup based on DATACOLOR 3890 with microphotometric and RS232-port-assisted data transfer into the PC memory.
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Videomicroscopic Semi-Shadow Visualization of LoC-Si (Lab-on-a-Chip_[based_on]_Silicone) test structures from Institute of Molecular Electronics (D. Shevchenko; founder of Scientific and Production Association "Microbiotechniques" Ltd.) and Russian Academy of Sciences (INEPCP RAS; ICP RAS)
Vis. Tech.: MBS-10 Binocular Stereoscopic Microscope; Indirect Angular Illumination.
Found.: Initiative project (D. Shevchenko, O. Gradov; 2015-2016)
Fab.: JSC “Voskhod” KRLZ*
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Modified characteriograph-assisted testings of spectrozonal analog lab-on-a-chip under laser beams
Acknowledgements:
- “Development of the novel physical methods for complex biomedical diagnostics based on position-sensitive mapping with the angular resolution at the tissue and cellular levels using analytical labs-on-a-chip” (RFBR grant # 16-32-00914) [6 838,27 $ per year; 2016-2017];
- “Lab-on-a-chip development for personalized diagnostics” (FASIE grant 0019125) [3 039,00 $ per year; 2016-2017].
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LF-module-assisted analog lab-on-a-chip measurements with R- (650 nm), G- (532 nm), B- (405 nm) laser sources
00:59 - Wavelenth: 650 nm (laser diode);
01:25 - Wavelenth: 405 nm (DPSSL);
01:43 - Wavelenth: 532 nm (DPSSSL);
Acknowledgements:
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Testings of spectrozonal analog lab-on-a-chip with angle-sensitive pixels (ASP) using diode laser sources in combined nanosecond reflectometric and stroboscopic oscilloscopic measurements.
FILE 1: Combined nanosecond reflectometric and stroboscopic oscilloscopic analysis for RF lab-on-a-chip.mp4
00:15 - Wavelength: 405 nm (DPSS);
00:57 - Wavelength: 650 nm (laser diode source);
FILE 2: Analog angle-sensitive pixel lab-on-a-chip testing using nanosecond stroboscopic oscilloscope.mp4
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In this study, adaptive hybrid (AH) scheme is proposed to enhance the measurement accuracy of conventional CD method to acquire the 2-dimensional velocity field of blood flows. It can offer the assistance of the velocity field information measured preliminarily using ultrasound speckle image velocimetry (SIV) technique. Consequently, erroneous vectors in the CD results were replaced with the SIV results. The performance of the proposed AH method was validated by varying flow rate and insonation angle. We compared the AH method with the CD and SIV methods in an agarose vessel model.
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Background: Retinopathy of prematurity (ROP) is one of the main causes of childhood blindness. However, insufficient ophthalmologists are qualified for ROP screening.
Objective: To evaluate the performance of a deep neural network (DNN) for automated screening of ROP.
Methods: The training and test sets came from 420,365 wide-angle retina images from ROP screening. A transfer learning scheme was designed to train the DNN classifier. First, a pre-processing classifier separated unqualified images. Then, pediatric ophthalmologists labeled each image as either ROP or negative.
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A sample of synthetic noise-free reference image created by combining multiple instances of structurally preserved cilia cross-sections. The author has removed the dataset, the interested users can contact the author via email: amitsuveer@gmail.com
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This dataset is for the paper titled: Segmentation of Cervical Cell Images based on Generative Adversarial Networks. The dataset is used to train and test the Cell-GAN, a generative adversarial network. After training, the Cell-GAN is able to generate a complete single-cell image which has the similar contour to the cell to be segmented.
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