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Acta Optica Sinica, Volume. 41, Issue 21, 2111001(2021)

Study of Multi-Resolution Microscopic Correlation Imaging Based on Optimized Hadamard Matrix

Yueshu Feng1,2, Cheng Zhou1,2, Xuan Liu3, Xiaohan Liu1,2, and Lijun Song1,2、*
Author Affiliations
  • 1Institute for Interdisciplinary Quantum Information Technology, Jilin Engineering Normal University, Changchun, Jilin 130052, China
  • 2Jilin Engineering Laboratory for Quantum Information Technology, Changchun, Jilin 130052, China
  • 3School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
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    References (29)
    Cited By (2)
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    Figures & Tables(8)
    Diagram of computational correlated imaging

    Fig. 1. Diagram of computational correlated imaging

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    Flow chart of multi－resolution microscopic correlated imaging

    Fig. 2. Flow chart of multi－resolution microscopic correlated imaging

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    Schematic of optical path for multi－resolution microscopic correlated imaging system

    Fig. 3. Schematic of optical path for multi－resolution microscopic correlated imaging system

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    Reconstruction results of multi－resolution microscopic correlated imaging for biological tissue section. (a) M＝22×1 (2×2 resolution); (b) M＝22×2 (4×4 resolution); (c) M＝22×3 (8×8 resolution); (d) M＝22×4 (16×16 resolution); (e) M＝22×5 (32×32 resolution); (f) M＝22×6 (64×64 resolution); (g) M＝22×7 (128×128 resolution); (h)M＝22×8 (256×256 resolution); (i) original image

    Fig. 4. Reconstruction results of multi－resolution microscopic correlated imaging for biological tissue section. (a) M＝22×1 (2×2 resolution); (b) M＝22×2 (4×4 resolution); (c) M＝22×3 (8×8 resolution); (d) M＝22×4 (16×16 resolution); (e) M＝22×5 (32×32 resolution); (f) M＝22×6 (64×64 resolution); (g) M＝22×7 (128×128 resolution); (h)M＝22×8 (256×256 resolution); (i) original image

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    Reconstruction results of multi－resolution microscopic correlated imaging for resolution board. (a) M＝22×1 (2×2 resolution); (b) M＝22×2 (4×4 resolution); (c) M＝22×3 (8×8 resolution); (d) M＝22×4 (16×16 resolution); (e) M＝22×5 (32×32 resolution); (f) M＝22×6 (64×64 resolution); (g) M＝22×7 (128×128 resolution); (h) M＝22×8 (256×256 resolution); (i) original image

    Fig. 5. Reconstruction results of multi－resolution microscopic correlated imaging for resolution board. (a) M＝22×1 (2×2 resolution); (b) M＝22×2 (4×4 resolution); (c) M＝22×3 (8×8 resolution); (d) M＝22×4 (16×16 resolution); (e) M＝22×5 (32×32 resolution); (f) M＝22×6 (64×64 resolution); (g) M＝22×7 (128×128 resolution); (h) M＝22×8 (256×256 resolution); (i) original image

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    Experimental results. (a) Enlarged image of target position in resolution board; (b) reconstructed image of resolution board (M＝22×8, 256×256 resolution); (c) normalized intensity distribution of target position in reconstructed image (table represents the line spacing corresponding to different positions of resolution board)

    Fig. 6. Experimental results. (a) Enlarged image of target position in resolution board; (b) reconstructed image of resolution board (M＝22×8, 256×256 resolution); (c) normalized intensity distribution of target position in reconstructed image (table represents the line spacing corresponding to different positions of resolution board)

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    • Table 1. Time consumption of different spatial resolutions

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      Table 1. Time consumption of different spatial resolutions

      Resolution2×24×48×816×1632×3264×64128×128256×256
      2×24×48×816×1632×3264×64128×128
      2×24×48×816×1632×3264×64
      2×24×48×816×1632×32
      2×24×48×816×16
      2×24×48×8
      2×24×4
      2×2
      Measurement time /s0.0020.0080.0320.1280.5122.0488.19232.768
      Reconstruction time /s0.0050.0110.0320.1160.4441.6376.36023.756
      Total /s0.0070.0190.0640.2440.9563.68514.55256.524

    • Table 2. Memory consumption of different spatial resolutions

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      Table 2. Memory consumption of different spatial resolutions

      Resolution2×24×48×816×1632×3264×64128×128256×256
      2×24×48×816×1632×3264×64128×128
      2×24×48×816×1632×3264×64
      2×24×48×816×1632×32
      2×24×48×816×16
      2×24×48×8
      2×24×4
      2×2
      Detection signal /kB0.031250.1250.52832128512
      Hadamard pattern /kB2561，0244，09616，38465，536262，1441，048，5764，194，304
      Total /kB256.0031，024.1254，096.516，38665，544262，1761，048，7044，194，816
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    Yueshu Feng, Cheng Zhou, Xuan Liu, Xiaohan Liu, Lijun Song. Study of Multi-Resolution Microscopic Correlation Imaging Based on Optimized Hadamard Matrix[J]. Acta Optica Sinica, 2021, 41(21): 2111001

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    Paper Information

    Category: Imaging Systems

    Received: Apr. 6, 2021

    Accepted: May. 17, 2021

    Published Online: Oct. 29, 2021

    The Author Email: Lijun Song (ccdxslj@126.com)

    DOI:10.3788/AOS202141.2111001

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology