Multiplexed coded illumination for Fourier Ptychography with an LED array microscope.

By Lei Tian, Xiao Li, K. Ramchandran, Laura Waller. Biomedical Optics Express, 2014

553 citations recorded by the source corpus.

Fourier Ptychography is a new computational microscopy technique that achieves gigapixel images with both wide field of view and high resolution in both phase and amplitude. The hardware setup involves a simple replacement of the microscope's illumination unit with a programmable LED array, allowing one to flexibly pattern illumination angles without any moving parts. In previous work, a series of low-resolution images was taken by sequentially turning on each single LED in the array, and the data were then combined to recover a bandwidth much higher than the one allowed by the original imaging system. Here, we demonstrate a multiplexed illumination strategy in which multiple randomly selected LEDs are turned on for each image. Since each LED corresponds to a different area of Fourier space, the total number of images can be significantly reduced, without sacrificing image quality. We demonstrate this method experimentally in a modified commercial microscope. Compared to sequential scanning, our multiplexed strategy achieves similar results with approximately an order of magnitude reduction in both acquisition time and data capture requirements.

Subfields: Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics, Radiation

View Paper: https://www.semanticscholar.org/paper/bd5853e441e81a07d22dbc3d22b06622a08bcf36

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. M. Soltanolkotabi
  2. Lei Tian
  3. Laura Waller
  4. E.J. Candes

In Atomic and Molecular Physics, and Optics

  1. Lei Tian
  2. M. Soltanolkotabi
  3. Jingshan Zhong
  4. Li-Hao Yeh
  5. Laura Waller
  6. M. Chen
  7. Jonathan Dong
  8. Gongguo Tang

In Radiation

  1. M. Soltanolkotabi
  2. Lei Tian
  3. Laura Waller
  4. Xiaodong Li
  5. E.J. Candes
  6. Jingshan Zhong
  7. Li-Hao Yeh
  8. Gongguo Tang

Citations in the corpus