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Structured Review

Specim Spectral Imaging 3.62 software
Mean spectra of mustard seeds after smoothing with SG ( a,b ), SNV and SG smoothing ( c,d ) and SG-D2 ( e,f ) to Vis–NIR and <t>SWIR</t> spectral data, respectively.
3.62 Software, supplied by Specim Spectral Imaging, 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/result/3.62 software/product/Specim Spectral Imaging
Average 90 stars, based on 1 article reviews
3.62 software - by Bioz Stars, 2026-06
90/100 stars

Images

1) Product Images from "A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging"

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

Journal: Scientific Reports

doi: 10.1038/s41598-024-63073-0

Mean spectra of mustard seeds after smoothing with SG ( a,b ), SNV and SG smoothing ( c,d ) and SG-D2 ( e,f ) to Vis–NIR and SWIR spectral data, respectively.
Figure Legend Snippet: Mean spectra of mustard seeds after smoothing with SG ( a,b ), SNV and SG smoothing ( c,d ) and SG-D2 ( e,f ) to Vis–NIR and SWIR spectral data, respectively.

Techniques Used:

PCA for untreated and MW treated mustard seeds. PCA score plot of Vis–NIR ( a ) and SWIR ( b ) HSI pixel data, respectively.
Figure Legend Snippet: PCA for untreated and MW treated mustard seeds. PCA score plot of Vis–NIR ( a ) and SWIR ( b ) HSI pixel data, respectively.

Techniques Used:

Hyperspectral images of Vis–NIR ( a ) and SWIR ( c ) HSI system. PC1 to PC3 score image obtained from Vis–NIR ( b ) and SWIR ( d ) HSI data.
Figure Legend Snippet: Hyperspectral images of Vis–NIR ( a ) and SWIR ( c ) HSI system. PC1 to PC3 score image obtained from Vis–NIR ( b ) and SWIR ( d ) HSI data.

Techniques Used:

PLS-DA classification model performance for microwave pretreated mustard using SNV + SG smoothened Vis–NIR HSI spectral data and SNV + SGD2 smoothened  SWIR  HSI spectral data, with 10 and 3 latent variables, respectively.
Figure Legend Snippet: PLS-DA classification model performance for microwave pretreated mustard using SNV + SG smoothened Vis–NIR HSI spectral data and SNV + SGD2 smoothened SWIR HSI spectral data, with 10 and 3 latent variables, respectively.

Techniques Used: Biomarker Discovery

Prediction of oil content and fatty acid contents in mustard seeds from PLSR model using Vis–NIR and  SWIR  HSI spectra.
Figure Legend Snippet: Prediction of oil content and fatty acid contents in mustard seeds from PLSR model using Vis–NIR and SWIR HSI spectra.

Techniques Used: Biomarker Discovery

Prediction of oil content and fatty acid contents in mustard seeds from iPLS model using Vis–NIR and  SWIR  HSI spectra.
Figure Legend Snippet: Prediction of oil content and fatty acid contents in mustard seeds from iPLS model using Vis–NIR and SWIR HSI spectra.

Techniques Used: Biomarker Discovery

Prediction map of Vis–NIR ( a ) and SWIR ( b ) HSI imaging based on PLS-R model.
Figure Legend Snippet: Prediction map of Vis–NIR ( a ) and SWIR ( b ) HSI imaging based on PLS-R model.

Techniques Used: Imaging



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Image Search Results


Mean spectra of mustard seeds after smoothing with SG ( a,b ), SNV and SG smoothing ( c,d ) and SG-D2 ( e,f ) to Vis–NIR and SWIR spectral data, respectively.

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Mean spectra of mustard seeds after smoothing with SG ( a,b ), SNV and SG smoothing ( c,d ) and SG-D2 ( e,f ) to Vis–NIR and SWIR spectral data, respectively.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques:

PCA for untreated and MW treated mustard seeds. PCA score plot of Vis–NIR ( a ) and SWIR ( b ) HSI pixel data, respectively.

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: PCA for untreated and MW treated mustard seeds. PCA score plot of Vis–NIR ( a ) and SWIR ( b ) HSI pixel data, respectively.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques:

Hyperspectral images of Vis–NIR ( a ) and SWIR ( c ) HSI system. PC1 to PC3 score image obtained from Vis–NIR ( b ) and SWIR ( d ) HSI data.

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Hyperspectral images of Vis–NIR ( a ) and SWIR ( c ) HSI system. PC1 to PC3 score image obtained from Vis–NIR ( b ) and SWIR ( d ) HSI data.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques:

PLS-DA classification model performance for microwave pretreated mustard using SNV + SG smoothened Vis–NIR HSI spectral data and SNV + SGD2 smoothened  SWIR  HSI spectral data, with 10 and 3 latent variables, respectively.

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: PLS-DA classification model performance for microwave pretreated mustard using SNV + SG smoothened Vis–NIR HSI spectral data and SNV + SGD2 smoothened SWIR HSI spectral data, with 10 and 3 latent variables, respectively.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques: Biomarker Discovery

Prediction of oil content and fatty acid contents in mustard seeds from PLSR model using Vis–NIR and  SWIR  HSI spectra.

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Prediction of oil content and fatty acid contents in mustard seeds from PLSR model using Vis–NIR and SWIR HSI spectra.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques: Biomarker Discovery

Prediction of oil content and fatty acid contents in mustard seeds from iPLS model using Vis–NIR and  SWIR  HSI spectra.

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Prediction of oil content and fatty acid contents in mustard seeds from iPLS model using Vis–NIR and SWIR HSI spectra.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques: Biomarker Discovery

Prediction map of Vis–NIR ( a ) and SWIR ( b ) HSI imaging based on PLS-R model.

Journal: Scientific Reports

Article Title: A chemometric approach to assess the oil composition and content of microwave-treated mustard ( Brassica juncea ) seeds using Vis–NIR–SWIR hyperspectral imaging

doi: 10.1038/s41598-024-63073-0

Figure Lengend Snippet: Prediction map of Vis–NIR ( a ) and SWIR ( b ) HSI imaging based on PLS-R model.

Article Snippet: 3.62 software (Spectral Imaging Ltd., Oulu, Finland) and for capturing SWIR hyperspectral images, Spectronon Pro ver.

Techniques: Imaging