A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells
The occurrence of vaso-occlusive crisis greatly depends on the competition between the sickling delay time and the transit time of individual sickle cells, i.e., red blood cells from sickle cell disease (SCD) patients, while they are traversing the circulatory system. Many drugs for treating SCD wor...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Physics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2024.1331047/full |
| _version_ | 1797263049838559232 |
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| author | Yuhao Qiang Mengjia Xu Mengjia Xu Mira Patel Pochron Madhulika Jupelli Ming Dao |
| author_facet | Yuhao Qiang Mengjia Xu Mengjia Xu Mira Patel Pochron Madhulika Jupelli Ming Dao |
| author_sort | Yuhao Qiang |
| collection | DOAJ |
| description | The occurrence of vaso-occlusive crisis greatly depends on the competition between the sickling delay time and the transit time of individual sickle cells, i.e., red blood cells from sickle cell disease (SCD) patients, while they are traversing the circulatory system. Many drugs for treating SCD work by inhibiting the polymerization of sickle hemoglobin (HbS), effectively delaying the sickling process in sickle cells (SS RBCs). Most previous studies on screening anti-sickling drugs, such as voxelotor, rely on in vitro testing of sickling characteristics, often conducted under prolonged deoxygenation for up to 1 hour. However, since the microcirculation of RBCs typically takes less than 1 minute, the results of these studies may be less accurate and less relevant for in vitro-in vivo correlation. In our current study, we introduce a computer vision-enhanced microfluidic framework designed to automatically capture the transient sickling kinetics of SS RBCs within a 1-min timeframe. Our study has successfully detected differences in the transient sickling kinetics between vehicle control and voxelotor-treated SS RBCs. This approach has the potential for broader applications in screening anti-sickling therapies. |
| first_indexed | 2024-04-25T00:06:50Z |
| format | Article |
| id | doaj.art-4e37e9f4a7d24d589f19ce0730f5fe1c |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-25T00:06:50Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-4e37e9f4a7d24d589f19ce0730f5fe1c2024-03-14T05:03:00ZengFrontiers Media S.A.Frontiers in Physics2296-424X2024-03-011210.3389/fphy.2024.13310471331047A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cellsYuhao Qiang0Mengjia Xu1Mengjia Xu2Mira Patel Pochron3Madhulika Jupelli4Ming Dao5Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, United StatesDepartment of Data Science, Ying Wu College of Computing, New Jersey Institute of Technology, Newark, NJ, United StatesCenter for Brains, Minds and Machines, Massachusetts Institute of Technology, Cambridge, MA, United StatesPfizer Inc., New York, NY, United StatesPfizer Inc., New York, NY, United StatesDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, United StatesThe occurrence of vaso-occlusive crisis greatly depends on the competition between the sickling delay time and the transit time of individual sickle cells, i.e., red blood cells from sickle cell disease (SCD) patients, while they are traversing the circulatory system. Many drugs for treating SCD work by inhibiting the polymerization of sickle hemoglobin (HbS), effectively delaying the sickling process in sickle cells (SS RBCs). Most previous studies on screening anti-sickling drugs, such as voxelotor, rely on in vitro testing of sickling characteristics, often conducted under prolonged deoxygenation for up to 1 hour. However, since the microcirculation of RBCs typically takes less than 1 minute, the results of these studies may be less accurate and less relevant for in vitro-in vivo correlation. In our current study, we introduce a computer vision-enhanced microfluidic framework designed to automatically capture the transient sickling kinetics of SS RBCs within a 1-min timeframe. Our study has successfully detected differences in the transient sickling kinetics between vehicle control and voxelotor-treated SS RBCs. This approach has the potential for broader applications in screening anti-sickling therapies.https://www.frontiersin.org/articles/10.3389/fphy.2024.1331047/fulldeep learningmicrofluidicsimage segmentation and classificationdrug testingsickle cell diseaseautomated sickling kinetics assay |
| spellingShingle | Yuhao Qiang Mengjia Xu Mengjia Xu Mira Patel Pochron Madhulika Jupelli Ming Dao A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells Frontiers in Physics deep learning microfluidics image segmentation and classification drug testing sickle cell disease automated sickling kinetics assay |
| title | A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells |
| title_full | A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells |
| title_fullStr | A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells |
| title_full_unstemmed | A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells |
| title_short | A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells |
| title_sort | framework of computer vision enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells |
| topic | deep learning microfluidics image segmentation and classification drug testing sickle cell disease automated sickling kinetics assay |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2024.1331047/full |
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