data acquisition and pre-processing software installed (spectral image, isuzu-optics co., hsinchu, taiwan) (ISUZU Optics)
90
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ISUZU Optics
data acquisition and pre-processing software installed (spectral image, isuzu-optics co., hsinchu, taiwan)
Data Acquisition And Pre Processing Software Installed (Spectral Image, Isuzu Optics Co., Hsinchu, Taiwan), supplied by ISUZU Optics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spectral+data+processing/data+acquisition+software+spectral+image+software/pmc10815083-87-74-74
Average 90 stars, based on 1 article reviews
Data Acquisition And Pre Processing Software Installed (Spectral Image, Isuzu Optics Co., Hsinchu, Taiwan), supplied by ISUZU Optics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/spectral+data+processing/data+acquisition+software+spectral+image+software/pmc10815083-87-74-74
Average 90 stars, based on 1 article reviews
data acquisition and pre-processing software installed (spectral image, isuzu-optics co., hsinchu, taiwan) - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Distributional uniformity quantification in heterogeneous prepared dishes combined the hyperspectral imaging technology with Moran's I: A case study of pizza. Article Snippet: Quality detection is critical in the development of prepared dishes, with distributional uniformity playing a significant role.. This study used hyperspectral imaging (HSI) and Moran’s I to quantify distributional uniformity, employing pizza as case.. Pizza ingredients’ spectra were collected, pre-processed with Detrended Fluctuation Analysis (DFA), Savitzky-Golay (SG) and Standard Normal Variate (SNV), and down-scaled with Principal Component Analysis (PCA). Article Title: Metabolic profiling of blueberries (Vaccinium Spp.) to quantitatively and qualitatively assess bruise damage and fruit deterioration Article Snippet: Bruise damage is a type of subcutaneous tissue failure in fresh produce and may seriously affect postharvest quality, limiting machine harvesting of blueberries for fresh resale.. In the present study, an empirical model of finite elements was built to predict bruise susceptibility and position in blueberries with varying mechanical force.. Fruit quality tests revealed that blueberries were sensitive to mechanical damage in predicted positions, which appeared as softening, cell membrane damage, decay weight and titratable acidity losses in whole fruit. Article Title: Nondestructive detection of pungent and numbing compounds in spicy hotpot seasoning with hyperspectral imaging and machine learning. Article Snippet: The levels of capsaicin (CAP) and hydroxy-α-sanshool (α-SOH) are crucial for evaluating the spiciness and numbing sensation in spicy hotpot seasoning.. Although liquid chromatography can accurately measure these compounds, the method is invasive.. This study aimed to utilize hyperspectral imaging (HSI) combined with machine learning for the nondestructive detection of CAP and α-SOH in hotpot seasoning. Software:Article Title: Non-destructive prediction and pixel-level visualization of polysaccharide-based properties in ancient paper using SWNIR hyperspectral imaging and machine learning. Article Snippet: Ancient documents and artworks are invaluable cultural heritage artworks that require careful preservation.. Traditional methods for assessing their physical and chemical properties—such as tearing index, tensile index, water absorption, and pH—are often destructive, risking irreversible damage.. This study introduces a novel, nondestructive approach using Short-Wave Near-Infrared (SWNIR) hyperspectral imaging (HSI) combined with advanced machine learning models. Article Title: Study on the Diffusion and Optimization of Sucrose in Gaido Seak Based on Finite Element Analysis and Hyperspectral Imaging Technology Article Snippet: .. The system at HSI is shown in and consists of a line scan spectrometer (ImSpector, VI0E, Spectra Imaging Ltd., Oulu, Finland), a CMOS camera (BCI4-U-M-20-LP, Vector International, Leuven, Belgium), two 150W illuminators (Fiber-Lite PL900-A, Dolan-Jenner Industries Inc., Boxborough, MA, USA), a transport drive system (Zolix TS200AB, Zolix.Crop, Beijing, China), a dark box (ZJgrt, Great Ltd., Beijing, China) and an industrial computer (HPdx2390MT, Hewlett-Packard, Beijing, China) with Article Title: Laboratory exploration of a novel method to protect silicate relics against salt efflorescence by directional induction of water Article Snippet: .. The system consisted of an InGaAs camera (320 × 240 pixels; Sensors Unlimited, Inc., Princeton, NJ, USA), a spectrograph (Imspector N25E, Spectral Imaging Ltd., Oulu, Finland), five halogen lamps (3 × 50 W and 2 × 20 W), a One-axis electric stepping mobile platform (IRCP0076-1COMB, Isuzu Optics Corp., Taiwan, China), Article Title: An intelligent process analysis method for rapidly evaluating the quality of Chinese medicine with near-infrared non-contact hyperspectral imaging: A case study of Weifuchun concentrate. Article Snippet: Funding information National Science and Technology Major Project, Grant/Award Number: 2018ZX09201011-003 Abstract Introduction: The quality of Chinese medicine preparations can be greatly influenced by the quality of the intermediates such as extracts or concentrates.. However, it is highly challenging to evaluate the quality in a rapid and non-contact manner during manufacturing.. Here, we introduce an intelligent hyperspectral analysis method integrating a self-built abnormal region removal algorithm with machine learning and demonstrate its utility using the concentrate of Weifuchun (WFC), a traditional Chinese medicine preparation made from Ginseng Radix et Rhizoma Rubra, Rabdosia Amethystoides, and Aurantii Fructus. Article Title: A Rapid Non-destructive Detection Method for Wolfberry Moisture Grade Using Hyperspectral Imaging Technology Article Snippet: Improper drying processes or poor storage conditions negatively affect the storage period and quality of wolfberries and consequently affect their long-termutilization.As a result, to effectively, fast, and subjectively determine the degree ofmoisture content of dried wolfberry fruits, this study investigated a rapid nondestructive method for the detection and classification grounded on hyperspectral imaging (HSI).. Ten wolfberry’s hyperspectral image sample sets of varying moisture grades were collected using an HSI device within a spectral range of 400.885–1002.193 nm.. First-order derivative (FD) with Savitzky–Golay (SG) preprocessing method was selected for data cleaning and a support vector machine (SVM) and sparrow search algorithm–SVM (SSA–SVM) were utilized for the detection of wolfberry moisture gradient content. Imaging:Article Title: Study on the Diffusion and Optimization of Sucrose in Gaido Seak Based on Finite Element Analysis and Hyperspectral Imaging Technology Article Snippet: .. The system at HSI is shown in and consists of a line scan spectrometer (ImSpector, VI0E, Spectra Imaging Ltd., Oulu, Finland), a CMOS camera (BCI4-U-M-20-LP, Vector International, Leuven, Belgium), two 150W illuminators (Fiber-Lite PL900-A, Dolan-Jenner Industries Inc., Boxborough, MA, USA), a transport drive system (Zolix TS200AB, Zolix.Crop, Beijing, China), a dark box (ZJgrt, Great Ltd., Beijing, China) and an industrial computer (HPdx2390MT, Hewlett-Packard, Beijing, China) with Article Title: An intelligent process analysis method for rapidly evaluating the quality of Chinese medicine with near-infrared non-contact hyperspectral imaging: A case study of Weifuchun concentrate. Article Snippet: Funding information National Science and Technology Major Project, Grant/Award Number: 2018ZX09201011-003 Abstract Introduction: The quality of Chinese medicine preparations can be greatly influenced by the quality of the intermediates such as extracts or concentrates.. However, it is highly challenging to evaluate the quality in a rapid and non-contact manner during manufacturing.. Here, we introduce an intelligent hyperspectral analysis method integrating a self-built abnormal region removal algorithm with machine learning and demonstrate its utility using the concentrate of Weifuchun (WFC), a traditional Chinese medicine preparation made from Ginseng Radix et Rhizoma Rubra, Rabdosia Amethystoides, and Aurantii Fructus. Control:Article Title: A Rapid Non-destructive Detection Method for Wolfberry Moisture Grade Using Hyperspectral Imaging Technology Article Snippet: Improper drying processes or poor storage conditions negatively affect the storage period and quality of wolfberries and consequently affect their long-termutilization.As a result, to effectively, fast, and subjectively determine the degree ofmoisture content of dried wolfberry fruits, this study investigated a rapid nondestructive method for the detection and classification grounded on hyperspectral imaging (HSI).. Ten wolfberry’s hyperspectral image sample sets of varying moisture grades were collected using an HSI device within a spectral range of 400.885–1002.193 nm.. First-order derivative (FD) with Savitzky–Golay (SG) preprocessing method was selected for data cleaning and a support vector machine (SVM) and sparrow search algorithm–SVM (SSA–SVM) were utilized for the detection of wolfberry moisture gradient content. |