Correction: Huang et al. Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring. Sensors 2021, 21, 512
by
, ,
Xiwei Huang
1,*,†
,
Hyungkook Jeon
2,†,
Jixuan Liu
1,
Jiangfan Yao
1,
Maoyu Wei
1,
Wentao Han
1,
Jin Chen
1,
Lingling Sun
1 and
Jongyoon Han
2,3,4 1
Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou 310018, China
2
Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
3
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
4
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Sensors 2021, 21(24), 8360; https://doi.org/10.3390/s21248360
Submission received: 26 July 2021
/
Accepted: 19 November 2021
/
Published: 15 December 2021
(This article belongs to the Section Biosensors)
The authors wish to make the following correction to their paper [1]:
Hyungkook Jeon and Jongyoon Han have been added as co-authors due to their contribution in processing blood samples using microfluidic blood sorting devices.
The revised authorship, affiliation and funding are now as follows:
Xiwei Huang 1,*,†, Hyungkook Jeon 2,†, Jixuan Liu 1, Jiangfan Yao 1, Maoyu Wei 1, Wentao Han 1, Jin Chen 1, Lingling Sun 1 and Jongyoon Han 2,3,4
- 1
- Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou 310018, China; [email protected] (J.L.); [email protected] (J.Y.); [email protected] (M.W.); [email protected] (W.H.); [email protected] (J.C.); [email protected] (L.S.)
- 2
- Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; [email protected] (H.J.); [email protected] (J.H.)
- 3
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- 4
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- *
- Correspondence: [email protected]
- †
- These authors contributed equally to this work.
Author Contributions
Conceptualization, X.H.; Data curation, J.L.; Formal analysis, J.L.; Funding acquisition, X.H., L.S. and J.H.; Investigation, J.L.; Methodology, X.H., H.J., J.L., L.S., J.H.; Resources, L.S. H.J. and J.H.; Software, X.H. and J.L.; Supervision, X.H. and J.H.; Validation, J.Y., M.W., W.H. and J.C.; Writing—review & editing, X.H., J.Y. and M.W. All authors have read and agreed to the published version of the manuscript.
Funding
The HDU research team was supported by the National Natural Science Foundation of China (Grant No. 61827806), Qianjiang Talent Project Type-D of Zhejiang (Grant No. QJD1802021), Fundamental Research Funds for the Provincial Universities of Zhejiang (Grant No. GK209907299001-305), and 2020 Talent Cultivation Project of Zhejiang Association for Science and Technology (Grant No. CTZB-2020080127-19). The MIT research team was supported by Singapore-MIT Alliance for Research and Technology (SMART) Centre, Critical Analytics for Manufacturing Personalized-Medicine (CAMP) Interdisciplinary Research Group (IRG) as well as Anti-Microbial Resistance (AMR) IRG.
Reference
- Huang, X.; Jeon, H.; Liu, J.; Yao, J.; Wei, M.; Han, W.; Chen, J.; Sun, L.; Han, J. Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring. Sensors 2021, 21, 512. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style
Huang, X.; Jeon, H.; Liu, J.; Yao, J.; Wei, M.; Han, W.; Chen, J.; Sun, L.; Han, J. Correction: Huang et al. Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring. Sensors 2021, 21, 512. Sensors 2021, 21, 8360. https://doi.org/10.3390/s21248360
AMA Style
Huang X, Jeon H, Liu J, Yao J, Wei M, Han W, Chen J, Sun L, Han J. Correction: Huang et al. Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring. Sensors 2021, 21, 512. Sensors. 2021; 21(24):8360. https://doi.org/10.3390/s21248360
Chicago/Turabian StyleHuang, Xiwei, Hyungkook Jeon, Jixuan Liu, Jiangfan Yao, Maoyu Wei, Wentao Han, Jin Chen, Lingling Sun, and Jongyoon Han. 2021. "Correction: Huang et al. Deep-Learning Based Label-Free Classification of Activated and Inactivated Neutrophils for Rapid Immune State Monitoring. Sensors 2021, 21, 512" Sensors 21, no. 24: 8360. https://doi.org/10.3390/s21248360
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