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Gigapixel confocal imaging using a massively parallel optical probe array with single directional infinite scanning.

Ryung Shin1,2, Woojae Choi1, Taekyung Kim3

  • 1School of Mechanical Engineering, Yonsei University, Seoul, 03722, South Korea.

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|May 8, 2020
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This study introduces high-throughput gigapixel confocal imaging using a novel optical probe array and single directional infinite scanning for enhanced microscopy. The system achieves high lateral resolution and a wide field-of-view, advancing imaging capabilities.

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Area of Science:

  • Optical Engineering
  • Microscopy Technology
  • Imaging Systems

Background:

  • Traditional confocal microscopy faces limitations in throughput and field-of-view for large-scale imaging.
  • Achieving high resolution across a wide field-of-view in parallel imaging systems remains a challenge.

Purpose of the Study:

  • To demonstrate high-throughput gigapixel confocal imaging using a massively parallel optical probe array.
  • To implement single directional infinite scanning for enhanced lateral resolution and imaging speed.

Main Methods:

  • Development of a parallelogram array micro-objective lens module using wafer-level microlens arrays.
  • Integration of the micro-objective lens module into a confocal imaging system with an objective-side telecentric relay lens.
  • Construction and testing of a confocal imaging system with a 200 × 140 parallelogram array of multi-optical probes.

Main Results:

  • Achieved a full width-half maximum lateral resolution of 1.55 μm.
  • Obtained a field-of-view width of 28.0 mm with a sampling interval of 1 μm/pixel.
  • Demonstrated the feasibility of single directional infinite scanning for gigapixel confocal imaging.

Conclusions:

  • The proposed system enables high-throughput gigapixel confocal imaging.
  • The novel optical probe array and scanning method significantly improve imaging resolution and efficiency.
  • This technology offers a promising solution for large-scale, high-resolution microscopic imaging applications.