Image Fusion
Changes in left ventricular (LV) aggregate cardiomyocyte orientation and deformation underlie cardiac function and dysfunction. As such, in vivo aggregate cardiomyocyte "myofiber" strain has mechanistic significance, but currently there exists no established technique to measure in vivo cardiomyocyte strain.
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This code was used in some previous our articles, such as:
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NGM software for applied neurogoniometry. See our previous articles.
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See .doc-fie in the attachement.
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Spectroreflectometric techniques for dactiloscopy and optical nail diagnostics are proposed and aproved on "DATACOLOR 3890"-based measuring system.
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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
00:20 - Zero Point Calibration (ZPC);
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Microfluidic Lab-on-a-dish (3D printing).
O.V. Gradov group, INEPCP RAS, 2017-2018.
Acknowledgements:
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140 Views
We collected real crack image data to test and analyze the image-based crack detection results. We used 18 images with 1920×1080 resolution sequentially numbered from 1 to 18. And we performed labeling operation to classify the crack image into crack and background regions. online for free use. For the selection of a crack region, we applied a simple rule of extracting a crack edge and selecting the segment matching the true value. The inner region of the selected crack edge (i.e.
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