Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method
As microfluidics has been applied extensively in many cell and biochemical applications, monitoring the related processes is an important requirement. In this work, we design and fabricate a high-throughput microfluidic device which contains 32 microchambers to perform automated parallel microfluidi...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/608184 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556975820374016 |
|---|---|
| author | Hon Ming Yip John C. S. Li Kai Xie Xin Cui Agrim Prasad Qiannan Gao Chi Chiu Leung Raymond H. W. Lam |
| author_facet | Hon Ming Yip John C. S. Li Kai Xie Xin Cui Agrim Prasad Qiannan Gao Chi Chiu Leung Raymond H. W. Lam |
| author_sort | Hon Ming Yip |
| collection | DOAJ |
| description | As microfluidics has been applied extensively in many cell and biochemical applications, monitoring the related processes is an important requirement. In this work, we design and fabricate a high-throughput microfluidic device which contains 32 microchambers to perform automated parallel microfluidic operations and monitoring on an automated stage of a microscope. Images are captured at multiple spots on the device during the operations for monitoring samples in microchambers in parallel; yet the device positions may vary at different time points throughout operations as the device moves back and forth on a motorized microscopic stage. Here, we report an image-based positioning strategy to realign the chamber position before every recording of microscopic image. We fabricate alignment marks at defined locations next to the chambers in the microfluidic device as reference positions. We also develop image processing algorithms to recognize the chamber positions in real-time, followed by realigning the chambers to their preset positions in the captured images. We perform experiments to validate and characterize the device functionality and the automated realignment operation. Together, this microfluidic realignment strategy can be a platform technology to achieve precise positioning of multiple chambers for general microfluidic applications requiring long-term parallel monitoring of cell and biochemical activities. |
| format | Article |
| id | doaj-art-b6813675e27c494dad1fecbd94c0c1bd |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-b6813675e27c494dad1fecbd94c0c1bd2025-02-03T05:43:55ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/608184608184Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning MethodHon Ming Yip0John C. S. Li1Kai Xie2Xin Cui3Agrim Prasad4Qiannan Gao5Chi Chiu Leung6Raymond H. W. Lam7Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong KongDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong KongDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong KongDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong KongDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong KongDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong KongDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong KongDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong KongAs microfluidics has been applied extensively in many cell and biochemical applications, monitoring the related processes is an important requirement. In this work, we design and fabricate a high-throughput microfluidic device which contains 32 microchambers to perform automated parallel microfluidic operations and monitoring on an automated stage of a microscope. Images are captured at multiple spots on the device during the operations for monitoring samples in microchambers in parallel; yet the device positions may vary at different time points throughout operations as the device moves back and forth on a motorized microscopic stage. Here, we report an image-based positioning strategy to realign the chamber position before every recording of microscopic image. We fabricate alignment marks at defined locations next to the chambers in the microfluidic device as reference positions. We also develop image processing algorithms to recognize the chamber positions in real-time, followed by realigning the chambers to their preset positions in the captured images. We perform experiments to validate and characterize the device functionality and the automated realignment operation. Together, this microfluidic realignment strategy can be a platform technology to achieve precise positioning of multiple chambers for general microfluidic applications requiring long-term parallel monitoring of cell and biochemical activities.http://dx.doi.org/10.1155/2014/608184 |
| spellingShingle | Hon Ming Yip John C. S. Li Kai Xie Xin Cui Agrim Prasad Qiannan Gao Chi Chiu Leung Raymond H. W. Lam Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method The Scientific World Journal |
| title | Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method |
| title_full | Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method |
| title_fullStr | Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method |
| title_full_unstemmed | Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method |
| title_short | Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method |
| title_sort | automated long term monitoring of parallel microfluidic operations applying a machine vision assisted positioning method |
| url | http://dx.doi.org/10.1155/2014/608184 |
| work_keys_str_mv | AT honmingyip automatedlongtermmonitoringofparallelmicrofluidicoperationsapplyingamachinevisionassistedpositioningmethod AT johncsli automatedlongtermmonitoringofparallelmicrofluidicoperationsapplyingamachinevisionassistedpositioningmethod AT kaixie automatedlongtermmonitoringofparallelmicrofluidicoperationsapplyingamachinevisionassistedpositioningmethod AT xincui automatedlongtermmonitoringofparallelmicrofluidicoperationsapplyingamachinevisionassistedpositioningmethod AT agrimprasad automatedlongtermmonitoringofparallelmicrofluidicoperationsapplyingamachinevisionassistedpositioningmethod AT qiannangao automatedlongtermmonitoringofparallelmicrofluidicoperationsapplyingamachinevisionassistedpositioningmethod AT chichiuleung automatedlongtermmonitoringofparallelmicrofluidicoperationsapplyingamachinevisionassistedpositioningmethod AT raymondhwlam automatedlongtermmonitoringofparallelmicrofluidicoperationsapplyingamachinevisionassistedpositioningmethod |