Mathematical model and genomics construction of developmental biology patterns using digital image technology
Biological pattern formation ensures that tissues and organs develop in the correct place and orientation within the body. A great deal has been learned about cell and tissue staining techniques, and today’s microscopes can capture digital images. A light microscope is an essential tool in biology a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.956415/full |
| _version_ | 1828422908062466048 |
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| author | Shiwei Ni Fei Chen Guolong Chen Yufeng Yang |
| author_facet | Shiwei Ni Fei Chen Guolong Chen Yufeng Yang |
| author_sort | Shiwei Ni |
| collection | DOAJ |
| description | Biological pattern formation ensures that tissues and organs develop in the correct place and orientation within the body. A great deal has been learned about cell and tissue staining techniques, and today’s microscopes can capture digital images. A light microscope is an essential tool in biology and medicine. Analyzing the generated images will involve the creation of unique analytical techniques. Digital images of the material before and after deformation can be compared to assess how much strain and displacement the material responds. Furthermore, this article proposes Development Biology Patterns using Digital Image Technology (DBP-DIT) to cell image data in 2D, 3D, and time sequences. Engineered materials with high stiffness may now be characterized via digital image correlation. The proposed method of analyzing the mechanical characteristics of skin under various situations, such as one direction of stress and temperatures in the hundreds of degrees Celsius, is achievable using digital image correlation. A DBP-DIT approach to biological tissue modeling is based on digital image correlation (DIC) measurements to forecast the displacement field under unknown loading scenarios without presupposing a particular constitutive model form or owning knowledge of the material microstructure. A data-driven approach to modeling biological materials can be more successful than classical constitutive modeling if adequate data coverage and advice from partial physics constraints are available. The proposed procedures include a wide range of biological objectives, experimental designs, and laboratory preferences. The experimental results show that the proposed DBP-DIT achieves a high accuracy ratio of 99,3%, a sensitivity ratio of 98.7%, a specificity ratio of 98.6%, a probability index of 97.8%, a balanced classification ratio of 97.5%, and a low error rate of 38.6%. |
| first_indexed | 2024-12-10T15:54:43Z |
| format | Article |
| id | doaj.art-a8ee95d45a784300a058909c0c19fb4d |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-12-10T15:54:43Z |
| publishDate | 2022-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-a8ee95d45a784300a058909c0c19fb4d2022-12-22T01:42:42ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-08-011310.3389/fgene.2022.956415956415Mathematical model and genomics construction of developmental biology patterns using digital image technologyShiwei Ni0Fei Chen1Guolong Chen2Yufeng Yang3Institute of Life Sciences, FuZhou University, FuZhou, Fujian, ChinaInstitute of Life Sciences, FuZhou University, FuZhou, Fujian, ChinaSchool of Mathematics and Statistics, FuZhou University, FuZhou, Fujian, ChinaInstitute of Life Sciences, FuZhou University, FuZhou, Fujian, ChinaBiological pattern formation ensures that tissues and organs develop in the correct place and orientation within the body. A great deal has been learned about cell and tissue staining techniques, and today’s microscopes can capture digital images. A light microscope is an essential tool in biology and medicine. Analyzing the generated images will involve the creation of unique analytical techniques. Digital images of the material before and after deformation can be compared to assess how much strain and displacement the material responds. Furthermore, this article proposes Development Biology Patterns using Digital Image Technology (DBP-DIT) to cell image data in 2D, 3D, and time sequences. Engineered materials with high stiffness may now be characterized via digital image correlation. The proposed method of analyzing the mechanical characteristics of skin under various situations, such as one direction of stress and temperatures in the hundreds of degrees Celsius, is achievable using digital image correlation. A DBP-DIT approach to biological tissue modeling is based on digital image correlation (DIC) measurements to forecast the displacement field under unknown loading scenarios without presupposing a particular constitutive model form or owning knowledge of the material microstructure. A data-driven approach to modeling biological materials can be more successful than classical constitutive modeling if adequate data coverage and advice from partial physics constraints are available. The proposed procedures include a wide range of biological objectives, experimental designs, and laboratory preferences. The experimental results show that the proposed DBP-DIT achieves a high accuracy ratio of 99,3%, a sensitivity ratio of 98.7%, a specificity ratio of 98.6%, a probability index of 97.8%, a balanced classification ratio of 97.5%, and a low error rate of 38.6%.https://www.frontiersin.org/articles/10.3389/fgene.2022.956415/fulldigital image correlationbiology patternsdata-drivenmedicinemicroscopes |
| spellingShingle | Shiwei Ni Fei Chen Guolong Chen Yufeng Yang Mathematical model and genomics construction of developmental biology patterns using digital image technology Frontiers in Genetics digital image correlation biology patterns data-driven medicine microscopes |
| title | Mathematical model and genomics construction of developmental biology patterns using digital image technology |
| title_full | Mathematical model and genomics construction of developmental biology patterns using digital image technology |
| title_fullStr | Mathematical model and genomics construction of developmental biology patterns using digital image technology |
| title_full_unstemmed | Mathematical model and genomics construction of developmental biology patterns using digital image technology |
| title_short | Mathematical model and genomics construction of developmental biology patterns using digital image technology |
| title_sort | mathematical model and genomics construction of developmental biology patterns using digital image technology |
| topic | digital image correlation biology patterns data-driven medicine microscopes |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.956415/full |
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