scholarly journals Engineering near-infrared vision

Science ◽  
2020 ◽  
Vol 370 (6519) ◽  
pp. 925.2-925
Author(s):  
Dasha Nelidova
Keyword(s):  
Near Infrared ◽  
Infrared Vision

Surface Defects Detection of Red Jujube Based on Near-Infrared Vision System

2013 ◽  
Vol 303-306 ◽  
pp. 573-577
Author(s):  
Min Xu ◽  
Yue Ma ◽  
Shuai Chen
Keyword(s):  
Machine Vision ◽  
Near Infrared ◽  
Surface Defects ◽  
Vision System ◽  
Infrared Image ◽  
Machine Vision System ◽  
Test Results ◽  
Quality Factors ◽  
Important Quality ◽  
Infrared Vision

Quality evaluation of agricultural and food products is important for processing, inventory control, and marketing. Fruit surface defects are important quality factors for the jujube industry, especially for high quality jujubes such as Xinjiang red jujube. This paper presents the development and test results of a machine vision system for automatic jujube surface defects detection. Unlike other near-infrared spectrometric approaches, the developed machine vision system uses reflective near-infrared image to evaluate jujube quality by analyzing two-dimensional images. Near-infrared image, vision algorithms and a variety of operational details of the system, including cameras, optics, illumination, and fruit carrier are presented. The complete machine vision system has been built, and the experimental results show that the designed machine vision system is feasible to detect the defects of jujubes.

Mobile Robot Localization in Outdoor Environments Based on Near-infrared Vision

ROBOT ◽  
2010 ◽  
Vol 32 (1) ◽  
pp. 97-103 ◽  
Author(s):  
Jingchuan WANG ◽  
Weidong CHEN ◽  
Shiyu HU ◽  
Xu ZHANG
Keyword(s):  
Mobile Robot ◽  
Near Infrared ◽  
Robot Localization ◽  
Outdoor Environments ◽  
Mobile Robot Localization ◽  
Infrared Vision

Urban Road Materials Identification using Narrow Near Infrared Vision System

2017 ◽  
Vol 7 (3) ◽  
pp. 1171
Author(s):  
Heru Purnomo Ipung ◽  
Handayani Tjandrasa
Keyword(s):  
Near Infrared ◽  
Infrared Imaging ◽  
Narrow Band ◽  
Vision System ◽  
Optical Filter ◽  
Urban Road ◽  
Infrared Spectral ◽  
Road Materials ◽  
Spectral Patterns ◽  
Infrared Vision

<p>An urban road materials vision system using narrow band near infrared imaging indexes were proposed. This proposed imaging indexes were enhancement for previous work on autonomous multispectral road sensing method. Each urban road material has different near infrared spectral patterns which is as the base of its spectral identification. The new proposed imaging indexes, which using similar formula of NDVI, was normalized with narrow band near infrared spectrum range of 720nm to 1000nm of wavelength, were used to identify concretes, aggregates/sands/rocks, clay, natural dry fibers and bitumen/asphalt that make up most of urban road materials. This paper proposes imaging indexes evaluation from experiment results to identify those urban road materials. There were seven narrow band optical filter sets with the center spectrum at 710nm, 730nm, 750nm, 800nm, 870nm, 905nm and 970nm. Normalization band used was 720nm using high pass optical filter. The proposed multi-spectral imaging indexes were able to show the potential to classify the selected urban road materials, another approach may need to clearly distinguish between concrete and aggregates. The comparison to the previous imaging indexes (NDVI, NDGR, NDBR) were presented that used for urban road materials identification.</p>

Near-infrared vision system for monitoring arc welding processes

2014 ◽  
Vol 29 (3) ◽  
pp. 187-196 ◽  
Author(s):  
Carolina Pimenta Mota ◽  
Marcus Vinícius Ribeiro Machado ◽  
Roberto Mendes Finzi Neto ◽  
Louriel Oliveira Vilarinho
Keyword(s):  
Arc Welding ◽  
Near Infrared ◽  
Vision System ◽  
Infrared Vision ◽  
Welding Processes

scholarly journals Nondestructive Assessment of Glass Fibre Composites by Mid-Wave and Near Infrared Vision

2012 ◽  
Vol 53 (4) ◽  
pp. 601-603 ◽  
Author(s):  
Clemente Ibarra-Castanedo ◽  
Abdelhakim Bendada ◽  
Nicolas P. Avdelidis ◽  
Xavier P. V. Maldague
Keyword(s):  
Glass Fibre ◽  
Near Infrared ◽  
Fibre Composites ◽  
Infrared Vision

scholarly journals Sensitivity Differences in Fish Offer Near-Infrared Vision as an Adaptable Evolutionary Trait

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e64429 ◽  
Author(s):  
Denis Shcherbakov ◽  
Alexandra Knörzer ◽  
Svenja Espenhahn ◽  
Reinhard Hilbig ◽  
Ulrich Haas ◽  
...  
Keyword(s):  
Near Infrared ◽  
Infrared Vision

Construction of a near-infrared responsive upconversion nanoplatform against hypoxic tumors via NO-enhanced photodynamic therapy

Nanoscale ◽  
2020 ◽  
Vol 12 (14) ◽  
pp. 7875-7887 ◽  
Author(s):  
Ying Lan ◽  
Xiaohui Zhu ◽  
Ming Tang ◽  
Yihan Wu ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Photodynamic Therapy ◽  
Near Infrared ◽  
Upconversion Nanoparticles

A near-infrared (NIR) activated theranostic nanoplatform based on upconversion nanoparticles (UCNPs) is developed in order to overcome the hypoxia-associated resistance in photodynamic therapy by photo-release of NO upon NIR illumination.

A nitroreductase-activatable near-infrared theranostic photosensitizer for photodynamic therapy under mild hypoxia

2020 ◽  
Vol 56 (43) ◽  
pp. 5819-5822
Author(s):  
Jing Zheng ◽  
Yongzhuo Liu ◽  
Fengling Song ◽  
Long Jiao ◽  
Yingnan Wu ◽  
...  
Keyword(s):  
Photodynamic Therapy ◽  
Triplet State ◽  
Near Infrared ◽  
Mild Hypoxia

In this study, a near-infrared (NIR) theranostic photosensitizer was developed based on a heptamethine aminocyanine dye with a long-lived triplet state.

Fluorescent proteins for in vivo imaging, where's the biliverdin?

2020 ◽  
Vol 48 (6) ◽  
pp. 2657-2667
Author(s):  
Felipe Montecinos-Franjola ◽  
John Y. Lin ◽  
Erik A. Rodriguez
Keyword(s):  
Hydrogen Peroxide ◽  
In Vivo Imaging ◽  
Near Infrared ◽  
Fluorescent Protein ◽  
Fluorescent Proteins ◽  
Fluorescent Imaging ◽  
Infrared Light ◽  
Red Fluorescent Protein ◽  
Color Palette

Noninvasive fluorescent imaging requires far-red and near-infrared fluorescent proteins for deeper imaging. Near-infrared light penetrates biological tissue with blood vessels due to low absorbance, scattering, and reflection of light and has a greater signal-to-noise due to less autofluorescence. Far-red and near-infrared fluorescent proteins absorb light &gt;600 nm to expand the color palette for imaging multiple biosensors and noninvasive in vivo imaging. The ideal fluorescent proteins are bright, photobleach minimally, express well in the desired cells, do not oligomerize, and generate or incorporate exogenous fluorophores efficiently. Coral-derived red fluorescent proteins require oxygen for fluorophore formation and release two hydrogen peroxide molecules. New fluorescent proteins based on phytochrome and phycobiliproteins use biliverdin IXα as fluorophores, do not require oxygen for maturation to image anaerobic organisms and tumor core, and do not generate hydrogen peroxide. The small Ultra-Red Fluorescent Protein (smURFP) was evolved from a cyanobacterial phycobiliprotein to covalently attach biliverdin as an exogenous fluorophore. The small Ultra-Red Fluorescent Protein is biophysically as bright as the enhanced green fluorescent protein, is exceptionally photostable, used for biosensor development, and visible in living mice. Novel applications of smURFP include in vitro protein diagnostics with attomolar (10−18 M) sensitivity, encapsulation in viral particles, and fluorescent protein nanoparticles. However, the availability of biliverdin limits the fluorescence of biliverdin-attaching fluorescent proteins; hence, extra biliverdin is needed to enhance brightness. New methods for improved biliverdin bioavailability are necessary to develop improved bright far-red and near-infrared fluorescent proteins for noninvasive imaging in vivo.

Sign in / Sign up

Export Citation Format

Share Document