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Correction: Fast label-free recognition of NRBCs by deep-learning visual object detection and single-cell Raman spectroscopy

Teng Fang a, Pengbo Yuan b, Chen Gong bc, Yueping Jiang b, Yuezhou Yu d, Wenhao Shang d, Chan Tian *bce and Anpei Ye *ad
aKey Laboratory for the Physics and Chemistry of Nanodevices, School of Electronics, Peking University, Beijing 100871, China. E-mail: yap@pku.edu.cn
bNational Clinical Research Center for Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China. E-mail: tianchan@bjmu.edu.cn
cBeijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Center for Reproductive Medicine, Peking University Third Hospital, Beijing 100191, China
dAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
eDepartment of Medical Genetics, Center for Medical Genetics, Peking University Health Science Center, Beijing 100191, China

Received 21st April 2022 , Accepted 21st April 2022

First published on 28th April 2022


Abstract

Correction for ‘Fast label-free recognition of NRBCs by deep-learning visual object detection and single-cell Raman spectroscopy’ by Teng Fang et al., Analyst, 2022, https://doi.org/10.1039/D2AN00024E


The authors regret that the funding information was incorrectly shown in the acknowledgements section of the original manuscript. The corrected funding acknowledgement is as shown below.

This work was supported by the National Natural Science Foundation of China (U19A2007, 32150026, 92043302, and U1636110) and Key Clinical Projects of Peking University Third Hospital (no. BYSY2017005).

The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.


This journal is © The Royal Society of Chemistry 2022
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