Acta Optica Sinica (Online), Volume. 2, Issue 14, 1409003(2025)

Imaging Flow Cytometry and Sorter: Optical Principles and New Advancements (Invited)

Xinyu Chen1,2, Jiajie Chen1、*, Zhuolun Zhuang1, Junle Qu1, Yonghong Shao1, and Yu-Hwa Lo2
Author Affiliations
  • 1College of Physics and Optoelectronics Engineering, State Key Laboratory of Radio Frequency Heterogeneous Integration, Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, Shenzhen University, Shenzhen 518060, Guangdong , China
  • 2Department of Electrical and Computer Engineering, University of California, San Diego , La Jolla 92093, California , USA
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    Figures & Tables(10)
    Working principles of commercial flow cytometry. (a) Conventional flow cytometry[22]; (b) Amnis ImageStream imaging flow cytometry[21]
    Optical design of camera-based IFC. (a) MIFC[23]; (b) using a pseudo-random excitation pulse sequence as illumination source to eliminate motion blur[24]; (c) virtual-freezing fluorescence imaging flow cytometry[26]
    Optical design of PMT-based IFC. (a) Serial time-encoded amplified microscope[32]; (b) captured cell images using spatial-temporal transformation[35]
    Optical design of 3D IFC. (a) Fast scanning of illumination light source combined with spatial-temporal transformation to capture fluorescence and side scattering images[47]; (b) using Mach‒Zehnder interferometer to detect wavefront distortion and generate a 3D refractive index map of cells[48]
    System design of intelligent IACS, which can perform real-time sorting based on image features of the cells[75]
    Another example of image activated cell sorter[79]. (a) Design of optical imaging system; (b) schematic diagram of signal processing pipeline
    Major applications of IFC/IACS. A few examples include plant and marine biology, tumor cell killing, cell‒cell interaction, label-free assays, biomarker colocalization, and subcellular translocation
    • Table 1. Comparison of imaging principles, resolution, and throughput of 2D IFC

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      Table 1. Comparison of imaging principles, resolution, and throughput of 2D IFC

      System nameImaging principleResolutionThroughputRef.
      Amnis ImageStreamTime delay and integration0.5 µm1000 cell/s21
      Multi-field-of-view imaging flow cytometry (MIFC)Diffractive lens that produce sixteen wide field images<1 µm2000‒20000 cell/s23
      Virtual-freezing fluorescence imaging (VIFFI)Virtually freezing the motion of flowing cells on CMOS camera~0.7 µm>10000 cell/s26
      Deep-learning-enhanced imaging flow cytometry (DIFC)Transform low-resolution images to high resolution images using deep learning<1 µm20000 cell/s27
      Serial time-encoded amplified microscopy (STEAM)Mapping a 2D image into a serial time-domain data stream and simultaneously amplify the image in the optical domain163 ns (frame resolution)100000 cell/s32-3436
      IFC using spatial-temporal transformationEncode spatial information to temporal waveform using a spatial filter2‒4 µm1000 cell/s3537
      IFC with ultra-high throughputOptical time-stretch (OTS)0.78 µm1000000 cell/s38
    • Table 2. Comparison of imaging principles, resolution, and throughput of 3D IFC

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      Table 2. Comparison of imaging principles, resolution, and throughput of 3D IFC

      System nameImaging principleResolutionThroughputRef.
      3D tomography of cells in micro-channelsA tilted channel under confocal microscopeSeveral hundred cells per minute[45]
      3D-imaging flow cytometer for phytoplankton analysisLight sheet fluorescent microscopy1.42 µm axial and 0.81 µm lateral1 mm/s flow speed[46]
      Cameraless 3D IFCFast scanning of light sheet combined with spatial filter0.73 µm axial and 1.38 µm lateral500 cell/s[47]
      3D holographic refractive index IFCLine illumination and off-axis digital holography to record the angular spectra of scattered light150 µm/s flow speed[48]
    • Table 3. Comparison of sorting mechanisms, imaging methods, and sorting speed of IACS technologies

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      Table 3. Comparison of sorting mechanisms, imaging methods, and sorting speed of IACS technologies

      System nameSorting mechanismImaging methodSorting speedRef.
      Intelligent image-activated cell sorterOn-chip dual-membrane push-pull cell sorterFrequency-division-multiplexed (FDM) microscope100 cell/s75
      Intelligent image-activated cell sorter 2.0On-chip dual-membrane push-pull cell sorterVirtual-freezing fluorescence imaging2000 cell/s77
      Image guided cell sorter using fast scanning laserPiezoelectric actuatorFast scanning (200 kHz) of laser light source500‒1000 cell/s79
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    Xinyu Chen, Jiajie Chen, Zhuolun Zhuang, Junle Qu, Yonghong Shao, Yu-Hwa Lo. Imaging Flow Cytometry and Sorter: Optical Principles and New Advancements (Invited)[J]. Acta Optica Sinica (Online), 2025, 2(14): 1409003

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    Paper Information

    Category: Micro-Nano Optics

    Received: Feb. 12, 2025

    Accepted: Apr. 21, 2025

    Published Online: Jun. 10, 2025

    The Author Email: Jiajie Chen (cjj@szu.edu.cn)

    DOI:10.3788/AOSOL250439

    CSTR:32394.14.AOSOL250439

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