File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1364/AO.444856
- Scopus: eid_2-s2.0-85122301647
- PMID: 35201132
- WOS: WOS:000753924400014
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Holographic 3D particle reconstruction using a one-stage network
Title | Holographic 3D particle reconstruction using a one-stage network |
---|---|
Authors | |
Issue Date | 2022 |
Citation | Applied Optics, 2022, v. 61, n. 5, p. B111-B120 How to Cite? |
Abstract | Volumetric reconstruction of a three-dimensional (3D) particle field with high resolution and low latency is an ambitious and valuable task. As a compact and high-throughput imaging system, digital holography (DH) encodes the 3D information of a particle volume into a two-dimensional (2D) interference pattern. In this work, we propose a one-stage network (OSNet) for 3D particle volumetric reconstruction. Specifically, by a single feed-forward process, OSNet can retrieve the 3D coordinates of the particles directly from the holograms without high-fidelity image reconstruction at each depth slice. Evaluation results from both synthetic and experimental data confirm the feasibility and robustness of our method under different particle concentrations and noise levels in terms of detection rate and position accuracy, with improved processing speed. The additional applications of 3D particle tracking are also investigated, facilitating the analysis of the dynamic displacements and motions for micro-objects or cells. It can be further extended to various types of computational imaging problems sharing similar traits. |
Persistent Identifier | http://hdl.handle.net/10722/349660 |
ISSN | 2023 Impact Factor: 1.7 2023 SCImago Journal Rankings: 0.487 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Yunping | - |
dc.contributor.author | Zhu, Yanmin | - |
dc.contributor.author | Lam, Edmund Y. | - |
dc.date.accessioned | 2024-10-17T07:00:01Z | - |
dc.date.available | 2024-10-17T07:00:01Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Applied Optics, 2022, v. 61, n. 5, p. B111-B120 | - |
dc.identifier.issn | 1559-128X | - |
dc.identifier.uri | http://hdl.handle.net/10722/349660 | - |
dc.description.abstract | Volumetric reconstruction of a three-dimensional (3D) particle field with high resolution and low latency is an ambitious and valuable task. As a compact and high-throughput imaging system, digital holography (DH) encodes the 3D information of a particle volume into a two-dimensional (2D) interference pattern. In this work, we propose a one-stage network (OSNet) for 3D particle volumetric reconstruction. Specifically, by a single feed-forward process, OSNet can retrieve the 3D coordinates of the particles directly from the holograms without high-fidelity image reconstruction at each depth slice. Evaluation results from both synthetic and experimental data confirm the feasibility and robustness of our method under different particle concentrations and noise levels in terms of detection rate and position accuracy, with improved processing speed. The additional applications of 3D particle tracking are also investigated, facilitating the analysis of the dynamic displacements and motions for micro-objects or cells. It can be further extended to various types of computational imaging problems sharing similar traits. | - |
dc.language | eng | - |
dc.relation.ispartof | Applied Optics | - |
dc.title | Holographic 3D particle reconstruction using a one-stage network | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1364/AO.444856 | - |
dc.identifier.pmid | 35201132 | - |
dc.identifier.scopus | eid_2-s2.0-85122301647 | - |
dc.identifier.hkuros | 334697 | - |
dc.identifier.volume | 61 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | B111 | - |
dc.identifier.epage | B120 | - |
dc.identifier.eissn | 2155-3165 | - |
dc.identifier.isi | WOS:000753924400014 | - |