Source diversity for contrast transfer function imaging

Tonmoy Chakraborty; Jonathan C. Petruccelli

doi:10.1117/12.2262692

1 May 2017 Source diversity for contrast transfer function imaging

Tonmoy Chakraborty, Jonathan C. Petruccelli

Proceedings Volume 10222, Computational Imaging II; 102220R (2017) https://doi.org/10.1117/12.2262692
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

Propagation-based phase retrieval using the contrast transfer function (CTF) allows images at any propagation distance to be used when recovering the phase of slowly-varying objects. The CTF suffers from artifacts due to nulls in the transfer function at low spatial frequency and at higher, propagation-distance-dependent frequencies, though the latter can be alleviated by combining measurements at multiple distances. We demonstrate that the use of extended sources can improve low frequency performance. In addition, this method offers source shape as a parameter that can be used when optimizing combinations of measurements to produce robust phase reconstructions.

Conference Presentation

Citation Download Citation

Tonmoy Chakraborty and Jonathan C. Petruccelli "Source diversity for contrast transfer function imaging", Proc. SPIE 10222, Computational Imaging II, 102220R (1 May 2017); https://doi.org/10.1117/12.2262692

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