• Chinese Optics Letters
  • Vol. 21, Issue 11, 110009 (2023)
Ruping Deng1、2, Yuan Song2, Jiahao Yang2, Changjun Min2, Yuquan Zhang2、*, Xiaocong Yuan2, and Weiwei Liu1
Author Affiliations
  • 1Institute of Modern Optics, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Nankai University, Tianjin 300350, China
  • 2Nanophotonics Research Centre, Institute of Microscale Optoelectronics & State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen 518060, China
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    DOI: 10.3788/COL202321.110009 Cite this Article Set citation alerts
    Ruping Deng, Yuan Song, Jiahao Yang, Changjun Min, Yuquan Zhang, Xiaocong Yuan, Weiwei Liu, "AI-assisted cell identification and optical sorting [Invited]," Chin. Opt. Lett. 21, 110009 (2023) Copy Citation Text show less
    References

    [1] D. Li, N. Wang, T. Zhang, G. Wu, Y. Xiong, Q. Du, Y. Tian, W. Zhao, J. Ye, S. Gu, Y. Lu, D. Jiang, F. Xu. Label-free fiber nanograting sensor for real-time in situ early monitoring of cellular apoptosis. Adv. Photonics, 4, 016001(2022).

    [2] M. Lotfollahi, S. Rybakov, K. Hrovatin, S. Hediyeh-zadeh, C. Talavera-López, A. V. Misharin, F. J. Theis. Biologically informed deep learning to query gene programs in single-cell atlases. Nat. Cell Biol., 25, 337(2023).

    [3] B. Mair, P. M. Aldridge, R. S. Atwal, D. Philpott, M. Zhang, S. N. Masud, M. Labib, A. H. Y. Tong, E. H. Sargent, S. Angers, J. Moffat, S. O. Kelley. High-throughput genome-wide phenotypic screening via immunomagnetic cell sorting. Nat. Biomed. Eng., 3, 796(2019).

    [4] Z. Wang, H. Wang, S. Lin, S. Ahmed, S. Angers, E. H. Sargent, S. O. Kelley. Nanoparticle amplification labeling for high-performance magnetic cell sorting. Nano Lett., 22, 4774(2022).

    [5] J. C. Baret, O. J. Miller, V. Taly, M. Ryckelynck, A. El-Harrak, L. Frenz, C. Rick, M. L. Samuels, J. B. Hutchison, J. J. Agresti, D. R. Link, D. A. Weitz, A. D. Griffiths. Fluorescence-activated droplet sorting (FADS): efficient microfluidic cell sorting based on enzymatic activity. Lab Chip, 9, 1850(2009).

    [6] M. Purschke, N. Rubio, K. D. Held, R. W. Redmond. Phototoxicity of Hoechst 33342 in time-lapse fluorescence microscopy. Photochem. Photobiol. Sci., 9, 1634(2010).

    [7] H. S. Liu, M. S. Jan, C. K. Chou, P. H. Chen, N. J. Ke. Is green fluorescent protein toxic to the living cells. Biochem. Biophys. Res. Commun., 260, 712(1990).

    [8] R. Tang, L. Xia, B. Gutierrez, I. Gagne, A. Munoz, K. Eribez, N. Jagnandan, X. Chen, Z. Zhang, L. Waller, W. Alaynick, S. H. Cho, C. An, Y.-H. Lo. Low-latency label-free image-activated cell sorting using fast deep learning and AI inferencing. Biosens. Bioelectron., 220, 114865(2023).

    [9] K. Lee, S.-E. Kim, J. Doh, K. Kim, W. K. Chung. User-friendly image-activated microfluidic cell sorting technique using an optimized, fast deep learning algorithm. Lab Chip, 21, 1798(2021).

    [10] Z. Diao, L. Kan, Y. Zhao, H. Yang, J. Song, C. Wang, Y. Liu, F. Zhang, T. Xu, R. Chen, Y. Ji, X. Wang, X. Jing, J. Xu, Y. Li, B. Ma. Artificial intelligence-assisted automatic and index-based microbial single-cell sorting system for one-cell-one-tube. mLife, 1, 448(2022).

    [11] S. Emami, V. P. Suciu. Facial recognition using OpenCV. J. Mobile Embedded Distributed Syst., 4, 38(2012).

    [12] É. Zablocki, H. Ben-Younes, P. Pérez, M. Cord. Explainability of deep vision-based autonomous driving systems: review and challenges. Int. J. Comput. Vision, 130, 2425(2022).

    [13] B. J. Erickson, P. Korfiatis, Z. Akkus, T. L. Kline. Machine learning for medical imaging. RadioGraphics, 37, 505(2017).

    [14] J. Zhao, Y. Y. Sun, H. B. Zhu, Z. Y. Zhu, J. E. Antonio-Lopez, R. A. Correa, S. A. Pang, A. Schulzgen. Deep-learning cell imaging through Anderson localizing optical fiber. Adv. Photonics, 1, 066001(2019).

    [15] S. Pan, L. Wang, Y. Ma, G. Zhang, R. Liu, T. Zhang, K. Xiong, S. Chen, J. Zhang, W. Li, S. Yang. Photoacoustic-enabled automatic vascular navigation: accurate and naked-eye real-time visualization of deep-seated vessels. Adv. Photonics, 2, 046001(2023).

    [16] S. Feng, Y. Xiao, W. Yin, Y. Hu, Y. Li, C. Zuo, Q. Chen. Fringe-pattern analysis with ensemble deep learning. Adv. Photonics, 2, 036010(2023).

    [17] T. Luo, L. Fan, Y. Zeng, Y. Liu, S. Chen, Q. Tan, R. H. W. Lam, D. Sun. A simplified sheathless cell separation approach using combined gravitational-sedimentation-based prefocusing and dielectrophoretic separation. Lab Chip, 18, 1521(2018).

    [18] T. Morijiri, M. Yamada, T. Hikida, M. Seki. Microfluidic counterflow centrifugal elutriation system for sedimentation-based cell separation. Microfluid. Nanofluid., 14, 1049(2012).

    [19] A. Bussonniere, Y. Miron, M. Baudoin, O. Bou Matar, M. Grandbois, P. Charette, A. Renaudin. Cell detachment and label-free cell sorting using modulated surface acoustic waves (SAWs) in droplet-based microfluidics. Lab Chip, 14, 3556(2014).

    [20] X. Ding, Z. Peng, S. C. Lin, M. Geri, S. Li, P. Li, Y. Chen, M. Dao, S. Suresh, T. J. Huang. Cell separation using tilted-angle standing surface acoustic waves. Proc. Natl. Acad. Sci. USA, 111, 12992(2014).

    [21] S. Yang, J. Rufo, R. Zhong, J. Rich, Z. Wang, L. P. Lee, T. J. Huang. Acoustic tweezers for high-throughput single-cell analysis. Nat. Protoc., 18, 2441(2023).

    [22] X. Xie, X. Wang, C. Min, H. Ma, Y. Yuan, Z. Zhou, Y. Zhang, J. Bu, X. Yuan. Single-particle trapping and dynamic manipulation with holographic optical surface-wave tweezers. Photonics Res., 10, 166(2022).

    [23] R. Deng, Y. Zhang, X. Wang, X. Xie, Y. Song, J. Bu, C. Min, X. Yuan. In situ intracellular Raman spectroscopic detection with graphene-based thermoelectric optical tweezers. Sensor. Actuat. B-Chem., 361, 131722(2022).

    [24] L. Yu, Y. Jia, X. Hu, S. Wang, H. Chen, S. Liu, H. Deng, M. Wang, J. Yin. Trapping and revolving micron particles by transformable line traps of optical tweezers. Chin. Opt. Lett., 20, 053801(2022).

    [25] A. Neubeck, L. V. Gool. Efficient non-maximum suppression. 18th International Conference on Pattern Recognition, 850(2006).

    [26] M. Everingham, L. Van Gool, C. K. Williams, J. Winn, A. Zisserman. The Pascal visual object classes (VOC) challenge. Int. J. Comput. Vision, 88, 303(2010).

    Ruping Deng, Yuan Song, Jiahao Yang, Changjun Min, Yuquan Zhang, Xiaocong Yuan, Weiwei Liu, "AI-assisted cell identification and optical sorting [Invited]," Chin. Opt. Lett. 21, 110009 (2023)
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