Regularized inverse holographic volume reconstruction for 3D particle tracking

Kevin Mallery, Jiarong Hong

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The key limitations of digital inline holography (DIH) for particle tracking applications are poor longitudinal resolution, particle concentration limits, and case-specific processing. We utilize an inverse problem method with fused lasso regularization to perform full volumetric reconstructions of particle fields. By exploiting data sparsity in the solution and utilizing GPU processing, we dramatically reduce the computational cost usually associated with inverse reconstruction approaches. We demonstrate the accuracy of the proposed method using synthetic and experimental holograms. Finally, we present two practical applications (high concentration microorganism swimming and microfiber rotation) to extend the capabilities of DIH beyond what was possible using prior methods.

Original languageEnglish (US)
Pages (from-to)18069-18084
Number of pages16
JournalOptics Express
Volume27
Issue number13
DOIs
StatePublished - 2019

Bibliographical note

Funding Information:
National Science Foundation (NSF) (1427014); University of Minnesota Informatics Institute.

Publisher Copyright:
© 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

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