Macro-to-micro positioning and auto focusing for fully automated single cell microinjection
| Autor: | Xuping Zhang, Huipeng Zhang, Hongmiao Wei, Zhuo Zhang, Liying Su, Yueqing Yu, Guoning Si |
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| Rok vydání: | 2020 |
| Předmět: |
010302 applied physics
Computer science business.industry Process (computing) Field of view 02 engineering and technology 021001 nanoscience & nanotechnology Condensed Matter Physics 01 natural sciences Automation Electronic Optical and Magnetic Materials symbols.namesake Fully automated Hardware and Architecture 0103 physical sciences Zebrafish embryo symbols Computer vision Artificial intelligence Electrical and Electronic Engineering Macro Algorism 0210 nano-technology business |
| Zdroj: | Su, L, Zhang, H, Wei, H, Zhang, Z, Yu, Y, Si, G & Zhang, X 2021, ' Macro-to-micro positioning and auto focusing for fully automated single cell microinjection ', Microsystem Technologies, vol. 27, no. 1, pp. 11-21 . https://doi.org/10.1007/s00542-020-04891-w |
| ISSN: | 1432-1858 0946-7076 |
| DOI: | 10.1007/s00542-020-04891-w |
| Popis: | The automation methods and technologies of the single cell micro-injection reported in the literature have the common assumption that both the cell and the microtools has already been positioned within the microscopic field of view and well-focused. However, moving the microtools and biological cells from the macro field of view (macro-FOV) into the micro field of view (micro-FOV), and then further moving down into the culture medium and focusing were conducted manually and proved to be time consuming. In this work, we present algorithms and methods to automate this process. An electrothermal microgripper is used for picking and holding a zebrafish embryo instead of traditional micropipette. In order to position the microgripper into the micro-FOV, an extra macro camera is employed such that the microgripper jaws are under the macro-FOV. The micro-FOV is searched by moving the microgripper jaws in a serpentine path and zigzag path, respectively, and the grid-line identification algorithm is proposed to recognize the microgripper jaws that appear in the micro-FOV. Then, a contact detection algorithm is used to determine whether the gripper jaws are in the culture medium or not. Finally, eight algorisms are evaluated and compared to select the algorism with the best performance for auto-focusing the microgripper jaws in the culture medium. Up to 100 experiments are conducted to validate the proposed method for the macro-to-micro positioning and auto focusing of the microgripper jaws with the success rate 100% and 90%, respectively. |
| Databáze: | OpenAIRE |
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