High-speed, multi-modal, label-free imaging of pathological slices with a Bessel beam

Chi Liu1,2, Zhifeng Zhao3,2, Cheng Jin1

  • 1State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing 100084, China.

Insights

We developed a fast, label-free multiphoton microscopy (MPM) technique using Bessel beams and strip mosaicking. This method enhances imaging speed for pathological slices, aiding rapid disease diagnosis.

Area of Science:

  • Biomedical Optics
  • Pathology Imaging
  • Microscopy Technology

Background:

  • Optical imaging of stained pathological slices is standard for disease diagnosis but involves complex, time-consuming sample preparation.
  • Multiphoton microscopy (MPM) offers label-free imaging but suffers from slow speeds, particularly for whole-slice analysis.

Purpose of the Study:

  • To develop a high-speed, multi-modal, label-free MPM technique for efficient pathological slice imaging.
  • To overcome the limitations of traditional staining methods and slow MPM imaging speeds.

Main Methods:

  • Utilized Bessel beam excitation for extended depth-of-focus and reduced alignment sensitivity.
  • Implemented a strip mosaicking protocol to accelerate whole-slice imaging and minimize sample handling.
  • Incorporated a reflection mirror for enhanced epi-detection signals and circularly polarized beams for comprehensive data acquisition.

Main Results:

  • Demonstrated high-speed, multi-modal, label-free imaging of human gastric and liver cancer slices.
  • Achieved efficient axial information acquisition and reduced sample alignment requirements.
  • Showcased the potential for rapid, label-free disease diagnosis through enhanced imaging speed and signal detection.

Conclusions:

  • The proposed Bessel scan-based strip mosaicking MPM is a significant advancement for label-free pathological imaging.
  • This technique offers a faster and more efficient alternative to traditional methods, with potential for improved diagnostic workflows.
  • The multi-modal capabilities provide comprehensive information for accurate disease assessment.