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Lensless holographic microscope with a time and memory-saving algorithm for large-volume imaging of organoids
Optics Letters
|February 1, 2023
Summary
Researchers developed a novel lensless holographic microscope for organoid imaging. This system achieves large-volume, high-resolution 3D imaging efficiently, overcoming limitations of conventional microscopy for studying stem cell-derived organoids.
Area of Science:
- Biomedical Engineering
- Optical Microscopy
- Stem Cell Biology
Background:
- Organoids are advanced 3D models of human organs derived from stem cells.
- Studying organoids requires large-volume imaging with single-cell resolution, challenging for conventional optical microscopy.
- Existing microscopy techniques face limitations in balancing field of view, resolution, and processing speed.
Purpose of the Study:
- To develop a lensless holographic microscope for efficient, high-resolution 3D imaging of organoids.
- To overcome the spatial bandwidth limitations of conventional optical microscopy for organoid studies.
- To provide a practical imaging tool for organoid research.
Main Methods:
- A compact lensless holographic microscope system was constructed using multi-angle LED illumination and an on-chip structure.
- A fast angular spectrum formula was developed for rapid reconstruction of oblique-illuminated coaxial holography under undersampling.
- A multi-angle illuminated filtered backpropagation algorithm was derived for high-precision, slice-wise 3D reconstruction.
Main Results:
- The system achieved 6.28 mm × 4.71 mm × 0.37 mm volume imaging in 104 seconds.
- Micrometer-scale resolution in both lateral and axial directions was demonstrated using standardized polystyrene beads.
- The reconstruction process required only 1/50 of the memory compared to traditional optical diffraction tomography algorithms.
- 3D imaging of salivary gland organoids showcased the method's potential for live biological sample imaging.
Conclusions:
- The proposed lensless holographic microscopy offers a practical solution for large-volume, high-resolution 3D imaging of organoids.
- The developed algorithms significantly reduce memory and processing time, making complex imaging feasible.
- This technology holds great promise for advancing research in live biological sample imaging, particularly for organoids.
