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Characterizing stored red blood cells using ultra-high throughput holographic cytometry
Han Sang Park, Hillel Price, Silvia Ceballos, View ORCID ProfileJen-Tsan Chi, Adam Wax
doi: https://doi.org/10.1101/2021.04.29.442040
Han Sang Park
1Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America, 27708
Hillel Price
1Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America, 27708
Silvia Ceballos
1Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America, 27708
Jen-Tsan Chi
2Department of Molecular Genetics and Microbiology, Duke University, Durham, North Carolina, United States of America, 27708
3Duke Center for Genomic and Computational Biology, Duke University, Durham, North Carolina, United States of America, 27708
Adam Wax
1Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America, 27708
Posted April 30, 2021.
Characterizing stored red blood cells using ultra-high throughput holographic cytometry
Han Sang Park, Hillel Price, Silvia Ceballos, Jen-Tsan Chi, Adam Wax
bioRxiv 2021.04.29.442040; doi: https://doi.org/10.1101/2021.04.29.442040
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