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Li W, He D, Liu Y, Wang F, Huang F. Super-resolution reconstruction, recognition, and evaluation of laser confocal images of hyperaccumulator Solanum nigrum endocytosis vesicles based on deep learning: Comparative study of SRGAN and SRResNet. FRONTIERS IN PLANT SCIENCE 2023; 14:1146485. [PMID: 37025152 PMCID: PMC10070864 DOI: 10.3389/fpls.2023.1146485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 03/09/2023] [Indexed: 06/19/2023]
Abstract
It is difficult for laser scanning confocal microscopy to obtain high- or ultra-high-resolution laser confocal images directly, which affects the deep mining and use of the embedded information in laser confocal images and forms a technical bottleneck in the in-depth exploration of the microscopic physiological and biochemical processes of plants. The super-resolution reconstruction model (SRGAN), which is based on a generative adversarial network and super-resolution reconstruction model (SRResNet), which is based on a residual network, was used to obtain single and secondary super-resolution reconstruction images of laser confocal images of the root cells of the hyperaccumulator Solanum nigrum. Using the peak signal-to-noise ratio (PSNR), structural similarity (SSIM) and mean opinion score (MOS), the models were evaluated by the image effects after reconstruction and were applied to the recognition of endocytic vesicles in Solanum nigrum root cells. The results showed that the single reconstruction and the secondary reconstruction of SRGAN and SRResNet improved the resolution of laser confocal images. PSNR, SSIM, and MOS were clearly improved, with a maximum PSNR of 47.690. The maximum increment of PSNR and SSIM of the secondary reconstruction images reached 21.7% and 2.8%, respectively, and the objective evaluation of the image quality was good. However, overall MOS was less than that of the single reconstruction, the perceptual quality was weakened, and the time cost was more than 130 times greater. The reconstruction effect of SRResNet was better than that of SRGAN. When SRGAN and SRResNet were used for the recognition of endocytic vesicles in Solanum nigrum root cells, the clarity of the reconstructed images was obviously improved, the boundary of the endocytic vesicles was clearer, and the number of identified endocytic vesicles increased from 6 to 9 and 10, respectively, and the mean fluorescence intensity was enhanced by 14.4% and 7.8%, respectively. Relevant research and achievements are of great significance for promoting the application of deep learning methods and image super-resolution reconstruction technology in laser confocal image studies.
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Affiliation(s)
- Wenhao Li
- School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China
| | - Ding He
- Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, School of Environment, Nanjing Normal University, Nanjing, China
| | - Yongqiang Liu
- Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, School of Environment, Nanjing Normal University, Nanjing, China
| | - Fenghe Wang
- Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, School of Environment, Nanjing Normal University, Nanjing, China
| | - Fengliang Huang
- School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China
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Wang Y, Zhang X, Xu J, Sun X, Zhao X, Li H, Liu Y, Tian J, Hao X, Kong X, Wang Z, Yang J, Su Y. The Development of Microscopic Imaging Technology and its Application in Micro- and Nanotechnology. Front Chem 2022; 10:931169. [PMID: 35864864 PMCID: PMC9294601 DOI: 10.3389/fchem.2022.931169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 05/16/2022] [Indexed: 11/28/2022] Open
Abstract
As a typical microscopic imaging technology, the emergence of the microscope has accelerated the pace of human exploration of the micro world. With the development of science and technology, microscopes have developed from the optical microscopes at the time of their invention to electron microscopes and even atomic force microscopes. The resolution has steadily improved, allowing humans to expand the field of research from the initial animal and plant tissues to microorganisms such as bacteria, and even down to the nanolevel. The microscope is now widely used in life science, material science, geological research, and other fields. It can be said that the development of microscopes also promotes the development of micro- and nanotechnology. It is foreseeable that microscopes will play a significant part in the exploration of the microworld for a long time to come. The development of microscope technology is the focus of this study, which summarized the properties of numerous microscopes and discussed their applications in micro and nanotechnology. At the same time, the application of microscopic imaging technology in micro- and nanofields was investigated based on the properties of various microscopes.
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Affiliation(s)
- Yong Wang
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
- Qingdao Technology Innovation Center of Remote Sensing and Precise Measurement, Qingdao, China
| | - Xiushuo Zhang
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
- Qingdao Technology Innovation Center of Remote Sensing and Precise Measurement, Qingdao, China
| | - Jing Xu
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
| | - Xiangyu Sun
- Torch High Technology Industry Development Center, Ministry of Science and Technology, Beijing, China
| | - Xiaolong Zhao
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
| | - Hongsheng Li
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
- Qingdao Technology Innovation Center of Remote Sensing and Precise Measurement, Qingdao, China
| | - Yanping Liu
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
- Qingdao Technology Innovation Center of Remote Sensing and Precise Measurement, Qingdao, China
| | - Jingjing Tian
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
| | - Xiaorui Hao
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
| | - Xiaofei Kong
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
| | - Zhiwei Wang
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
| | - Jie Yang
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
| | - Yuqing Su
- Laboratory of Optical Detection and Imaging, School of Science, Qingdao University of Technology, Qingdao, China
- Quantum Physics Laboratory, School of Science, Qingdao University of Technology, Qingdao, China
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Mursalimov S, Deineko E. Cytomixis in plants: facts and doubts. PROTOPLASMA 2018; 255:719-731. [PMID: 29192339 DOI: 10.1007/s00709-017-1188-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 11/21/2017] [Indexed: 05/12/2023]
Abstract
The migration of nuclei between plant cells (cytomixis) is a mysterious cellular phenomenon frequently observable in the male meiosis of higher plants. Cytomixis attracts attention because of unknown cellular mechanisms underlying migration of nuclei and its potential evolutionary significance, since the genetic material is transferred between the cells that form pollen. Although cytomixis was discovered over a century ago, the advance in our understanding of this process has been rather insignificant because of methodological difficulties. The data that allowed for a new insight into this phenomenon were obtained by examining the migrating nuclei with electron and confocal laser microscopy, immunostaining, and fluorescence in situ hybridization. As has been shown, the chromatin migrating between cells is surrounded by an undamaged nuclear membrane. Such chromatin does not undergo heterochromatization and contains normal euchromatin markers. The condensation degree of the migrating chromatin corresponds to the current meiotic stage, and normal structures of synaptonemal complex are present in the migrating part of the nucleus. The cells involved in cytomixis lack any detectable morphological and molecular markers of programmed cell death. It has been shown that individual chromosomes and genomes (in the case of allopolyploids) have no predisposition to the migration between cells, i.e., parts of the nucleus are involved in cytomixis in a random manner. However, the fate of migrating chromatin after it has entered the recipient cell is still vague. A huge amount of indirect data suggests that migrating chromatin is incorporated into the nucleus of the recipient cell; nonetheless, the corresponding direct evidences are still absent. No specific markers of cytomictic chromatin have been yet discovered. Thus, the causes and consequences of cytomixis are still disputable. This review briefs the recent data on the relevant issues, describes the classical and modern methodological approaches to analysis of the intercellular migration of nuclei, and discusses the problems in cytomixis research and its prospects.
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Affiliation(s)
- Sergey Mursalimov
- Institute of Cytology and Genetics, Russian Academy of Sciences, Siberian Branch, pr. Lavrentieva 10, Novosibirsk, Russian Federation, 630090.
| | - Elena Deineko
- Institute of Cytology and Genetics, Russian Academy of Sciences, Siberian Branch, pr. Lavrentieva 10, Novosibirsk, Russian Federation, 630090
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