scholarly journals Open Platform Cameras Based Bio-Imaging Evaluation System

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6727
Author(s):  
Ji-Yeon Baek ◽  
Jong-Dae Kim ◽  
Yu-Seop Kim ◽  
Chan-Young Park ◽  
Ji-Soo Hwang
Keyword(s):  
Image Analysis ◽  
Evaluation System ◽  
High Performance ◽  
High Definition ◽  
Imaging Evaluation ◽  
Brightness Gradient ◽  
Open Platform ◽  
Bio Imaging ◽  
Imaging Performance ◽  
Gradient Change

With the active development of mobile devices, a variety of ultra-small, high-definition, and open platform-based cameras are being mass-produced. In this paper, we established an emulation system to verify the bio-imaging performance of the bulky and expensive high-performance cameras and various smartphone cameras that have been used in bio-imaging devices. In the proposed system, the linearity of the brightness gradient change of four types of cameras was compared and analyzed. Based on these results, three cameras were selected in order of excellent linearity, and gel image analysis results were compared.

scholarly journals Evaluation System of Open Platform Cameras for Bio-Imaging

2021 ◽  
Vol 6 (1) ◽  
pp. 44
Author(s):  
Ji-Yeon Baek ◽  
Jong-Dae Kim ◽  
Chan-Young Park ◽  
Yu-Seop Kim ◽  
Ji-Soo Hwang
Keyword(s):  
Image Analysis ◽  
Performance Evaluation ◽  
Evaluation System ◽  
High Performance ◽  
High Definition ◽  
Open Platform ◽  
Bio Imaging ◽  
Imaging Performance

With the development of smartphones, cameras based on ultra-small, high-definition, and open platforms have been mass-produced. In this paper, we outline how we built an emulation system to verify the bio-imaging performance of bulky and expensive high-performance cameras previously used in bio-imaging devices, and various smartphone cameras. Four types of camera were tested in the emulator, and the gel image analysis results were compared by selecting three cameras with more linear changes in slope, which matched the performance evaluation in the emulator.

scholarly journals Metabolomics for Biomarker Discovery: Key Signatory Metabolic Profiles for the Identification and Discrimination of Oat Cultivars

Metabolites ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 165
Author(s):  
Chanel J. Pretorius ◽  
Fidele Tugizimana ◽  
Paul A. Steenkamp ◽  
Lizelle A. Piater ◽  
Ian A. Dubery
Keyword(s):  
High Performance ◽  
Biomarker Discovery ◽  
Cultivar Identification ◽  
Principal Component ◽  
Rapid Identification ◽  
Maturity Stage ◽  
Metabolic Profiles ◽  
High Definition ◽  
Metabolic Markers ◽  
Leaves And Roots

The first step in crop introduction—or breeding programmes—requires cultivar identification and characterisation. Rapid identification methods would therefore greatly improve registration, breeding, seed, trade and inspection processes. Metabolomics has proven to be indispensable in interrogating cellular biochemistry and phenotyping. Furthermore, metabolic fingerprints are chemical maps that can provide detailed insights into the molecular composition of a biological system under consideration. Here, metabolomics was applied to unravel differential metabolic profiles of various oat (Avena sativa) cultivars (Magnifico, Dunnart, Pallinup, Overberg and SWK001) and to identify signatory biomarkers for cultivar identification. The respective cultivars were grown under controlled conditions up to the 3-week maturity stage, and leaves and roots were harvested for each cultivar. Metabolites were extracted using 80% methanol, and extracts were analysed on an ultra-high performance liquid chromatography (UHPLC) system coupled to a quadrupole time-of-flight (qTOF) high-definition mass spectrometer analytical platform. The generated data were processed and analysed using multivariate statistical methods. Principal component analysis (PCA) models were computed for both leaf and root data, with PCA score plots indicating cultivar-related clustering of the samples and pointing to underlying differential metabolic profiles of these cultivars. Further multivariate analyses were performed to profile differential signatory markers, which included carboxylic acids, amino acids, fatty acids, phenolic compounds (hydroxycinnamic and hydroxybenzoic acids, and associated derivatives) and flavonoids, among the respective cultivars. Based on the key signatory metabolic markers, the cultivars were successfully distinguished from one another in profiles derived from both leaves and roots. The study demonstrates that metabolomics can be used as a rapid phenotyping tool for cultivar differentiation.

scholarly journals Characterization and identification of flavonoids from Bambusa chungii leaves extract by UPLC-ESI-Q-TOF-MS/MS

2020 ◽  
Author(s):  
Ting Yuan ◽  
Xue-Feng Guo ◽  
Si-Yue Shao ◽  
Rong-Miao An ◽  
Jin Wang ◽  
...  
Keyword(s):  
High Performance ◽  
Gradient Elution ◽  
High Definition ◽  
Bamboo Leaves ◽  
Fat Reduction ◽  
Accurate Mass Measurements ◽  
Acid Aqueous Solution ◽  
Characteristic Fragmentation ◽  
Fragmentation Patterns ◽  
Tof Ms

AbstractBamboo leaves extract (BLE) has a variety of physiological functions such as antitumour, anti-inflammatory, antioxidant and blood fat reduction activities and the flavonoids of bamboo leaves are the major active constituents. To profile the flavonoids in the complex BLE, a rapid and sensitive analytical method based on ultra-high-performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight tandem mass spectrometry (UPLC-ESI-Q-TOF-MS/MS) was developed for the structural identification of the flavonoids in Bambusa chungii leaves extract using accurate mass measurements and characteristic fragmentation patterns. After separation on an Agilent SB-C18 Rapid Resolution High Definition (RRHD) column (2.1 mm × 150 mm, 1.8 μm) by gradient elution with 0.1% formic acid aqueous solution and acetonitrile as the mobile phase, the sample was analysed by ESI-QTOF-MS/MS in the negative mode. A total of 22 flavonoids were detected, and eight of these were identified by comparison with reference standards, while the other fourteen were tentatively identified according to their MS/MS data. The main fragmentation pathways of flavonoid C-glycosides (compounds 1, 5 and 10), flavonoid di-C,O-glycosides (compound 4), flavonoid di-C-glycosides (compound 7) and flavonoid C,O-di-glycosides (compounds 2 and 14) are shown in this article. This is the first report on the analysis of the flavonoids in the extract of B. chungii leaves. The present work demonstrates that UPLC-ESI-Q-TOF-MS/MS is an efficient technique for identifying multiple flavonoids of BLE.

A Wearable Device for Assisting Persons With Vision Impairment

2017 ◽  
Author(s):  
Urvish Trivedi ◽  
Jonielle McDonnough ◽  
Muhaimen Shamsi ◽  
Andrez Izurieta Ochoa ◽  
Alec Braynen ◽  
...  
Keyword(s):  
High Performance ◽  
Difficult Problem ◽  
Recognition Algorithm ◽  
Assistive Technologies ◽  
Baseline Data ◽  
Sensor Data ◽  
Vibrotactile Stimulation ◽  
High Definition ◽  
Ultrasonic Sensors ◽  
Novel Approach

Detecting humans and objects during walking has been a very difficult problem for people with visual impairment. To safely avoid collision with any object or human and to navigate from one location to another, it is significant to know how far and what kind of obstacle the user is facing. In recent years, many researches have shown that providing different vibration stimulation can be very useful to convey important information to the user. In this paper, we present our stereovision system with high definition camera to detect and identify humans and obstacles in real time and compare it with a modified version of existing wearable haptic belt that uses high-performance Ultrasonic sensors. The aim of this paper is to present the practicability of stereovision system over cane and assistive technology such as vibrotactile belt. The study is based on two assistive technologies. The first one consists of the vibrotactile belt connected to ultrasonic sensors and an accelerometer which returns user movement & speed information to the microcontroller. The microcontroller initiates expressive vibrotactile stimulation based on sensor data. Data gathered from this technology will be used as the baseline data for comparison with our stereovision system. Second, we present a novel approach to detect the type of obstacle using object recognition algorithm and the best approach to avoid it using the stereovision feedback. Data gathered from this technology with be comparted against the baseline data from the vibrotactile belt. In addition, we present the results of the comparative study which shows that stereovision system has plethora of advantages over vibrotactile belt.

Development of a Pain Evaluation System by Image Analysis of Facial Expression

2011 ◽  
Author(s):  
Yoshikazu Maekawa ◽  
Takeshi Abe ◽  
Yoko Akiyama ◽  
Shigehiro Nishijima
Keyword(s):  
Image Analysis ◽  
Facial Expression ◽  
Evaluation System ◽  
Pain Evaluation

scholarly journals Evaluation of Two Parts of Lithocarpus polystachyus Rehd. from Different Chinese Areas by Multicomponent Content Determination and Pattern Recognition

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Min Wei ◽  
Yangling Tuo ◽  
Ye Zhang ◽  
Qi Deng ◽  
Cuiying Shi ◽  
...  
Keyword(s):  
Evaluation System ◽  
High Performance ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Dry Weight ◽  
Quantification Analysis ◽  
Development And Utilization ◽  
Array Detection ◽  
Accurate Quantification

The purpose of this work is to establish a new method using high-performance liquid chromatography-diode array detection (HPLC-DAD) with chemometrics analysis to determine the content of catechin, isoquercetin, astragalin, phloridzin, trilobatin, and phloretin for one flavanol and five flavonoids, filter out the key compounds, and evaluate the quality of 26 batches of tender leaves and flower spikes of Lithocarpus polystachyus Rehd. (LP) from ten areas in China. The result showed that the HPLC-DAD method had excellent performance for accurate quantification analysis. S3 (tender leaf from Lushan, Sichuan) had the highest contents for six measured chemicals with trilobatin content of up to 27.82% in dry weight. S22 (flower spike from Liangping, Chongqing) had the highest content of phloridzin (up to 7.28%). All samples were divided into three types based on spatial distribution using principal component analysis. The result showed that the tender leaves and flower spikes from the same areas had many similar properties, and there were significant differences between the samples from different regions. Furthermore, phloridzin and trilobatin were identified as chemical markers for quality evaluation of two parts with different tender leaves and flower spikes of LP from geographical areas by orthogonal partial least squares discrimination analysis. These results will be helpful to establish an effective and comprehensive evaluation system of the development and utilization of LP resources.

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