File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1021/acsphotonics.3c01350
- Scopus: eid_2-s2.0-85179605598
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Article: Snapshot Polarization-Sensitive Holography for Detecting Microplastics in Turbid Water
Title | Snapshot Polarization-Sensitive Holography for Detecting Microplastics in Turbid Water |
---|---|
Authors | |
Keywords | digital holography microplastic polarization imaging scattering media |
Issue Date | 2023 |
Citation | ACS Photonics, 2023, v. 10, n. 12, p. 4483-4493 How to Cite? |
Abstract | Microplastic (MP) pollution is a serious environmental problem, which can severely harm the earth’s ecosystems and human health. However, in situ characterization of MP particles remains challenging due to the complex natural environments such as turbid water. In this work, a hybrid computational imaging approach based on holography and polarimetry is developed for rapid and accurate assessment of MP pollution in turbid water. In particular, the influence of scattering media on MP detection is experimentally studied. With a compact optical configuration and an efficient computational method, this imaging system is capable of seeing through scattering media and obtaining multimodal information about the object in a snapshot. The results suggest that polarization features can substantially improve image contrast even in highly turbid water. In addition, it is demonstrated that the polarization properties of objects are new discriminative features for identifying MP materials. Therefore, such a portable system is extremely useful for the further development of MP monitoring in natural environments. |
Persistent Identifier | http://hdl.handle.net/10722/350004 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Huang, Jianqing | - |
dc.contributor.author | Zhu, Yanmin | - |
dc.contributor.author | Li, Yuxing | - |
dc.contributor.author | Lam, Edmund Y. | - |
dc.date.accessioned | 2024-10-17T07:02:25Z | - |
dc.date.available | 2024-10-17T07:02:25Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | ACS Photonics, 2023, v. 10, n. 12, p. 4483-4493 | - |
dc.identifier.uri | http://hdl.handle.net/10722/350004 | - |
dc.description.abstract | Microplastic (MP) pollution is a serious environmental problem, which can severely harm the earth’s ecosystems and human health. However, in situ characterization of MP particles remains challenging due to the complex natural environments such as turbid water. In this work, a hybrid computational imaging approach based on holography and polarimetry is developed for rapid and accurate assessment of MP pollution in turbid water. In particular, the influence of scattering media on MP detection is experimentally studied. With a compact optical configuration and an efficient computational method, this imaging system is capable of seeing through scattering media and obtaining multimodal information about the object in a snapshot. The results suggest that polarization features can substantially improve image contrast even in highly turbid water. In addition, it is demonstrated that the polarization properties of objects are new discriminative features for identifying MP materials. Therefore, such a portable system is extremely useful for the further development of MP monitoring in natural environments. | - |
dc.language | eng | - |
dc.relation.ispartof | ACS Photonics | - |
dc.subject | digital holography | - |
dc.subject | microplastic | - |
dc.subject | polarization imaging | - |
dc.subject | scattering media | - |
dc.title | Snapshot Polarization-Sensitive Holography for Detecting Microplastics in Turbid Water | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1021/acsphotonics.3c01350 | - |
dc.identifier.scopus | eid_2-s2.0-85179605598 | - |
dc.identifier.volume | 10 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 4483 | - |
dc.identifier.epage | 4493 | - |
dc.identifier.eissn | 2330-4022 | - |