Holographic astigmatic particle tracking velocimetry (HAPTV)

Zhou Zhou, Santosh Kumar Sa, Kevin Mallery, Wensheng Jiang, Jiarong Hong

Research output: Contribution to journalArticle


The formation of twin images in digital inline holography (DIH) prevents the placement of the focal plane in the center of a sample volume for DIH-based particle tracking velocimetry (DIH-PTV) with a single camera. As a result, it is challenging to apply DIH-PTV for flow measurements in large-scale laboratory facilities or many field applications where it would otherwise be desirable due to the low cost and compact setup. Here we introduce holographic astigmatic PTV (HAPTV) by inserting a cylindrical lens in the optical setup of DIH-PTV, generating distorted holograms. Such distortion is subsequently utilized in a customized reconstruction algorithm to distinguish tracers positioned on different sides of the focal plane which can in turn be placed in the middle of a sample volume. Our HAPTV approach is calibrated under high (1 µm pixel-1) and low (10 µm pixel-1) magnifications with an error standard deviation of 4.2 µm (one particle diameter) and 120.7 µm (∼5 times the particle diameter), respectively. We compare the velocity field of a laminar jet flow obtained using HAPTV and conventional PIV to illustrate the accuracy of the technique when applied to practical flow measurement applications. The work demonstrates that HAPTV improves upon the depth of field of conventional astigmatic PTV and enables the implementation of DIH-based PTV for in situ applications.

Original languageEnglish (US)
Article number065202
JournalMeasurement Science and Technology
Issue number6
StatePublished - Jun 2020


  • 3D flow measurements
  • holography
  • particle tracking velocimetry and astigmatism

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