Automatic Optical Path Alignment Method for Optical Biological Microscope
A high-quality optical path alignment is essential for achieving superior image quality in optical biological microscope (OBM) systems. The traditional automatic alignment methods for OBMs rely heavily on complex masker-detection techniques. This paper introduces an innovative, image-sensor-based op...
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MDPI AG
2024-12-01
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| Online Access: | https://www.mdpi.com/1424-8220/25/1/102 |
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| author | Guojin Peng Zhenming Yu Xinjian Zhou Guangyao Pang Kuikui Wang |
| author_facet | Guojin Peng Zhenming Yu Xinjian Zhou Guangyao Pang Kuikui Wang |
| author_sort | Guojin Peng |
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| description | A high-quality optical path alignment is essential for achieving superior image quality in optical biological microscope (OBM) systems. The traditional automatic alignment methods for OBMs rely heavily on complex masker-detection techniques. This paper introduces an innovative, image-sensor-based optical path alignment approach designed for low-power objective (specifically 4×) automatic OBMs. The proposed method encompasses reference objective (RO) identification and alignment processes. For identification, a model depicting spot movement with objective rotation near the optical axis is developed, elucidating the influence of optical path parameters on spot characteristics. This insight leads to the proposal of an RO identification method utilizing an edge gradient and edge position probability. In the alignment phase, a symmetry-based weight distribution scheme for concentric arcs is introduced. A significant observation is that the received energy stabilizes with improved alignment precision, prompting the design of an advanced alignment evaluation method that surpasses conventional energy-based assessments. The experimental results confirm that the proposed RO identification method can effectively differentiate between 4× and 10× objectives across diverse light intensities and exposure levels, with a significant numerical difference of up to 100. The error–radius ratio of the weighted circular fitting method is maintained below 1.16%, and the fine alignment stage’s evaluation curve is notably sharper. Moreover, tests under various imaging conditions in artificially saturated environments indicate that the alignment estimation method, predicated on critical saturation positions, achieves an average error of 0.875 pixels. |
| format | Article |
| id | doaj-art-d2c9c94e3cb84eec887a04e0e6041adc |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-d2c9c94e3cb84eec887a04e0e6041adc2025-01-10T13:20:54ZengMDPI AGSensors1424-82202024-12-0125110210.3390/s25010102Automatic Optical Path Alignment Method for Optical Biological MicroscopeGuojin Peng0Zhenming Yu1Xinjian Zhou2Guangyao Pang3Kuikui Wang4Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology, Guilin 541004, ChinaGuangxi Key Laboratory of Machine Vision and Intelligent Control, Wuzhou University, Wuzhou 543000, ChinaGuangxi Key Laboratory of Machine Vision and Intelligent Control, Wuzhou University, Wuzhou 543000, ChinaGuangxi Key Laboratory of Machine Vision and Intelligent Control, Wuzhou University, Wuzhou 543000, ChinaGuangxi Key Laboratory of Machine Vision and Intelligent Control, Wuzhou University, Wuzhou 543000, ChinaA high-quality optical path alignment is essential for achieving superior image quality in optical biological microscope (OBM) systems. The traditional automatic alignment methods for OBMs rely heavily on complex masker-detection techniques. This paper introduces an innovative, image-sensor-based optical path alignment approach designed for low-power objective (specifically 4×) automatic OBMs. The proposed method encompasses reference objective (RO) identification and alignment processes. For identification, a model depicting spot movement with objective rotation near the optical axis is developed, elucidating the influence of optical path parameters on spot characteristics. This insight leads to the proposal of an RO identification method utilizing an edge gradient and edge position probability. In the alignment phase, a symmetry-based weight distribution scheme for concentric arcs is introduced. A significant observation is that the received energy stabilizes with improved alignment precision, prompting the design of an advanced alignment evaluation method that surpasses conventional energy-based assessments. The experimental results confirm that the proposed RO identification method can effectively differentiate between 4× and 10× objectives across diverse light intensities and exposure levels, with a significant numerical difference of up to 100. The error–radius ratio of the weighted circular fitting method is maintained below 1.16%, and the fine alignment stage’s evaluation curve is notably sharper. Moreover, tests under various imaging conditions in artificially saturated environments indicate that the alignment estimation method, predicated on critical saturation positions, achieves an average error of 0.875 pixels.https://www.mdpi.com/1424-8220/25/1/102biological microscopeoptical path alignmentobjective identificationweighted circle fittingalignment evaluation |
| spellingShingle | Guojin Peng Zhenming Yu Xinjian Zhou Guangyao Pang Kuikui Wang Automatic Optical Path Alignment Method for Optical Biological Microscope Sensors biological microscope optical path alignment objective identification weighted circle fitting alignment evaluation |
| title | Automatic Optical Path Alignment Method for Optical Biological Microscope |
| title_full | Automatic Optical Path Alignment Method for Optical Biological Microscope |
| title_fullStr | Automatic Optical Path Alignment Method for Optical Biological Microscope |
| title_full_unstemmed | Automatic Optical Path Alignment Method for Optical Biological Microscope |
| title_short | Automatic Optical Path Alignment Method for Optical Biological Microscope |
| title_sort | automatic optical path alignment method for optical biological microscope |
| topic | biological microscope optical path alignment objective identification weighted circle fitting alignment evaluation |
| url | https://www.mdpi.com/1424-8220/25/1/102 |
| work_keys_str_mv | AT guojinpeng automaticopticalpathalignmentmethodforopticalbiologicalmicroscope AT zhenmingyu automaticopticalpathalignmentmethodforopticalbiologicalmicroscope AT xinjianzhou automaticopticalpathalignmentmethodforopticalbiologicalmicroscope AT guangyaopang automaticopticalpathalignmentmethodforopticalbiologicalmicroscope AT kuikuiwang automaticopticalpathalignmentmethodforopticalbiologicalmicroscope |