Abstract
In this study, we explore the application of digital inline holography (DIH) and lens-free Shadow imaging technology (LSIT) for biosensing. LSIT offers a cost-effective and rapid method for cell analysis and real-time marine pollution monitoring without complex optical equipment. LSIT provides a cost-effective, rapid method for cell analysis and real-time marine pollution monitoring without complex optical equipment, offering a broad field of view. We analyzed human blood cells using parameters of the shadow images obtained using LSIT, which revealed significant differences and clear group separations. For polymer microspheres, contour algorithms were employed, revealing distinct group characteristics. Furthermore, using machine learning techniques, LSIT effectively tracked rotifer mobility in toxic environments with high accuracy. These results illustrate the potential of LSIT in biosensing, environmental monitoring, and clinical diagnostics.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE Sensors, SENSORS 2024 - Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350363517 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 2024 IEEE Sensors, SENSORS 2024 - Kobe, Japan Duration: 2024 Oct 20 → 2024 Oct 23 |
Publication series
| Name | Proceedings of IEEE Sensors |
|---|---|
| ISSN (Print) | 1930-0395 |
| ISSN (Electronic) | 2168-9229 |
Conference
| Conference | 2024 IEEE Sensors, SENSORS 2024 |
|---|---|
| Country/Territory | Japan |
| City | Kobe |
| Period | 24/10/20 → 24/10/23 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
Keywords
- Contour
- Digital Inline Hologram
- Machine Learning
- Micro Object
- Single cell
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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