Single Capture Quantitative Oblique Back-Illumination Microscopy

Area of Science:

• Biomedical Optics
• Microscopy
• Computational Imaging

Background:

• Quantitative oblique back-illumination microscopy (qOBM) enables label-free 3D phase imaging of thick biological samples.
• Traditional qOBM necessitates multiple captures, limiting imaging speed and increasing system complexity.

Purpose of the Study:

• To introduce single-capture qOBM (SCqOBM) using deep learning for rapid phase recovery.
• To demonstrate SCqOBM's accuracy and potential for in-vivo and high-speed imaging applications.

Main Methods:

• Development of a deep learning model for phase reconstruction from a single oblique back-illumination image.
• Validation of SCqOBM against traditional four-capture qOBM using diverse biological specimens.
• Application of SCqOBM for in-vivo imaging of blood flow and high-speed tomographic imaging.

Main Results:

• SCqOBM accurately reconstructs phase information from a single capture, matching traditional qOBM results.
• Demonstrated non-invasive visualization of blood flow in mouse brain and human arm.
• Achieved single-slice quantitative phase imaging at 2 kHz and volumetric refractive index tomography at 10 volumes/second.

Conclusions:

• SCqOBM significantly enhances imaging speed and simplifies hardware requirements for quantitative phase imaging.
• The technique offers transformative advantages for dynamic, real-time biomedical research and clinical diagnostics.
• SCqOBM facilitates high-resolution, label-free 3D imaging, opening new avenues for in-vivo tissue analysis and hematological assessments.