Computational illumination for high-speed in vitro Fourier ptychographic microscopy

By Lei Tian, Ziji Liu, Li-Hao Yeh, Michael Chen, Jingshan Zhong, Laura Waller. 2015

309 citations recorded by the source corpus.

We demonstrate a new computational illumination technique that achieves large space-bandwidth-time product, for quantitative phase imaging of unstained live samples in vitro. Microscope lenses can have either large field of view (FOV) or high resolution, not both. Fourier ptychographic microscopy (FPM) is a new computational imaging technique that circumvents this limit by fusing information from multiple images taken with different illumination angles. The result is a gigapixel-scale image having both wide FOV and high resolution, i.e. large space-bandwidth product (SBP). FPM has enormous potential for revolutionizing microscopy and has already found application in digital pathology. However, it suffers from long acquisition times (on the order of minutes), limiting throughput. Faster capture times would not only improve imaging speed, but also allow studies of live samples, where motion artifacts degrade results. In contrast to fixed (e.g. pathology) slides, live samples are continuously evolving at various spatial and temporal scales. Here, we present a new source coding scheme, along with real-time hardware control, to achieve 0.8 NA resolution across a 4x FOV with sub-second capture times. We propose an improved algorithm and new initialization scheme, which allow robust phase reconstruction over long time-lapse experiments. We present the first FPM results for both growing and confluent in vitro cell cultures, capturing videos of subcellular dynamical phenomena in popular cell lines undergoing division and migration. Our method opens up FPM to applications with live samples, for observing rare events in both space and time.

Subfields: Atomic and Molecular Physics, and Optics, Radiation, Structural Biology

View Paper: https://www.semanticscholar.org/paper/6899e40ae9fd28129545e1e8ca9e9517e8940b6e

How researchers see this paper

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

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

In Structural Biology

  1. Laura Waller
  2. Lei Tian
  3. M. Soltanolkotabi

Citations in the corpus