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High-throughput, volumetric quantitative phase imaging with multiplexed intensity diffraction tomography.

Alex Matlock1, Lei Tian1

  • 1Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.

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|December 20, 2019
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Summary
This summary is machine-generated.

Multiplexed intensity diffraction tomography (mIDT) enhances imaging speed for unlabeled biological samples. This new method achieves faster, quantitative 3D refractive index mapping of dynamic biological processes.

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Area of Science:

  • Biophotonics
  • Quantitative Phase Imaging
  • Microscopy

Background:

  • Intensity Diffraction Tomography (IDT) offers label-free, quantitative 3D refractive index (RI) mapping.
  • Conventional IDT is limited by slow acquisition speeds and large data requirements, hindering dynamic sample analysis.
  • Standard optical microscopes can implement IDT using LED arrays, but speed remains a bottleneck.

Purpose of the Study:

  • To develop a novel imaging framework, multiplexed IDT (mIDT), to overcome the speed limitations of conventional IDT.
  • To enable high volume-rate IDT for evaluating dynamic biological samples.
  • To achieve significant improvements in acquisition speed and data handling for quantitative RI reconstructions.

Main Methods:

  • Developed a coded illumination framework (mIDT) using physical model-based design principles.
  • Optimized the mIDT design scheme through simulations, analyzing reconstruction error and acquisition speed.
  • Implemented mIDT on standard optical microscopes with LED arrays.

Main Results:

  • Achieved hardware-limited 4Hz acquisition rates, a 60x speed improvement over conventional IDT.
  • Enabled 3D refractive index distribution recovery on live Caenorhabditis elegans, embryos, and epithelial buccal cells.
  • Demonstrated minimal loss in resolution and reconstruction quality compared to conventional IDT.

Conclusions:

  • mIDT significantly accelerates quantitative volumetric refractive index imaging of unlabeled biological samples.
  • The framework is robust across different illumination hardware, making it an easily adoptable tool.
  • mIDT facilitates the study of dynamic biological processes in their native state with high throughput.