Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in <i>Arabidopsis</i>
Salt stress is one of the abiotic factors that causes adverse effects in plants and there is an urgent need to detect salt stress in plants as early as possible. Multicolor fluorescence imaging, as a powerful tool in plant phenotyping, can provide information about primary and secondary metabolism i...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/11/12/2577 |
| _version_ | 1797507041691959296 |
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| author | Ya Tian Limin Xie Mingyang Wu Biyun Yang Captoline Ishimwe Dapeng Ye Haiyong Weng |
| author_facet | Ya Tian Limin Xie Mingyang Wu Biyun Yang Captoline Ishimwe Dapeng Ye Haiyong Weng |
| author_sort | Ya Tian |
| collection | DOAJ |
| description | Salt stress is one of the abiotic factors that causes adverse effects in plants and there is an urgent need to detect salt stress in plants as early as possible. Multicolor fluorescence imaging, as a powerful tool in plant phenotyping, can provide information about primary and secondary metabolism in plants to detect the responses of the plants exposed to stress in the early stage. The purpose of this study was to evaluate the potential of multicolor fluorescence imaging’s application in the early detection of salt stress in plants. In this study, the measurements were conducted on <i>Arabidopsis</i> and the multicolor fluorescence images were acquired at 440, 520, 690, and 740 nm with a self-developed imaging system consisting of a UV light-emitting diode (LED) panel for an excitation at 365 nm, a charge coupled device (CCD) camera, interference filters, and a computer. We developed a classification method using the imaging analysis of multicolor fluorescence based on principal component analysis (PCA) and a support vector machine (SVM). The results showed that the four principal fluorescence feature combinations were the ideal indicators as the inputs of the SVM model, and the classification accuracies of the control and salt-stress treatment at 5 days and 9 days were 92.65% and 98.53%, respectively. The results indicated that multicolor fluorescence imaging combined with PCA and SVM could act as a tool for early detection in salt-stressed plants. |
| first_indexed | 2024-03-10T04:41:03Z |
| format | Article |
| id | doaj.art-ea43d1343bf247faa95180ab7ed14582 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T04:41:03Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-ea43d1343bf247faa95180ab7ed145822023-11-23T03:24:06ZengMDPI AGAgronomy2073-43952021-12-011112257710.3390/agronomy11122577Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in <i>Arabidopsis</i>Ya Tian0Limin Xie1Mingyang Wu2Biyun Yang3Captoline Ishimwe4Dapeng Ye5Haiyong Weng6College of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 310002, ChinaCollege of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 310002, ChinaCollege of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 310002, ChinaCollege of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 310002, ChinaCollege of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 310002, ChinaCollege of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 310002, ChinaCollege of Mechanical and Electrical Engineering, Fujian Agriculture and Forestry University, Fuzhou 310002, ChinaSalt stress is one of the abiotic factors that causes adverse effects in plants and there is an urgent need to detect salt stress in plants as early as possible. Multicolor fluorescence imaging, as a powerful tool in plant phenotyping, can provide information about primary and secondary metabolism in plants to detect the responses of the plants exposed to stress in the early stage. The purpose of this study was to evaluate the potential of multicolor fluorescence imaging’s application in the early detection of salt stress in plants. In this study, the measurements were conducted on <i>Arabidopsis</i> and the multicolor fluorescence images were acquired at 440, 520, 690, and 740 nm with a self-developed imaging system consisting of a UV light-emitting diode (LED) panel for an excitation at 365 nm, a charge coupled device (CCD) camera, interference filters, and a computer. We developed a classification method using the imaging analysis of multicolor fluorescence based on principal component analysis (PCA) and a support vector machine (SVM). The results showed that the four principal fluorescence feature combinations were the ideal indicators as the inputs of the SVM model, and the classification accuracies of the control and salt-stress treatment at 5 days and 9 days were 92.65% and 98.53%, respectively. The results indicated that multicolor fluorescence imaging combined with PCA and SVM could act as a tool for early detection in salt-stressed plants.https://www.mdpi.com/2073-4395/11/12/2577multicolor fluorescence imagingsalt stressprincipal component analysis (PCA)support vector machine (SVM) |
| spellingShingle | Ya Tian Limin Xie Mingyang Wu Biyun Yang Captoline Ishimwe Dapeng Ye Haiyong Weng Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in <i>Arabidopsis</i> Agronomy multicolor fluorescence imaging salt stress principal component analysis (PCA) support vector machine (SVM) |
| title | Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in <i>Arabidopsis</i> |
| title_full | Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in <i>Arabidopsis</i> |
| title_fullStr | Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in <i>Arabidopsis</i> |
| title_full_unstemmed | Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in <i>Arabidopsis</i> |
| title_short | Multicolor Fluorescence Imaging for the Early Detection of Salt Stress in <i>Arabidopsis</i> |
| title_sort | multicolor fluorescence imaging for the early detection of salt stress in i arabidopsis i |
| topic | multicolor fluorescence imaging salt stress principal component analysis (PCA) support vector machine (SVM) |
| url | https://www.mdpi.com/2073-4395/11/12/2577 |
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