Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria
Abstract Bacterial infection is a crucial factor resulting in public health issues worldwide, often triggering epidemics and even fatalities. The accurate, rapid, and convenient detection of viable bacteria is an effective method for reducing infections and illness outbreaks. Here, an unsupervised l...
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Wiley
2025-01-01
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| Series: | Advanced Science |
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| Online Access: | https://doi.org/10.1002/advs.202406912 |
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| author | Yang Zhou Junpeng Zhao Junping Wen Ziyan Wu Yongzhen Dong Yiping Chen |
| author_facet | Yang Zhou Junpeng Zhao Junping Wen Ziyan Wu Yongzhen Dong Yiping Chen |
| author_sort | Yang Zhou |
| collection | DOAJ |
| description | Abstract Bacterial infection is a crucial factor resulting in public health issues worldwide, often triggering epidemics and even fatalities. The accurate, rapid, and convenient detection of viable bacteria is an effective method for reducing infections and illness outbreaks. Here, an unsupervised learning–assisted and surface acoustic wave–interdigital transducer‐driven nano‐lens holography biosensing platform is developed for the ultrasensitive and amplification‐free detection of viable bacteria. The monitoring device integrated with the nano‐lens effect can achieve the holographic imaging of polystyrene microsphere probes in an ultra‐wide field of view (∽28.28 mm2), with a sensitivity limit of as low as 99 nm. A lightweight unsupervised learning hologram processing algorithm considerably reduces training time and computing hardware requirements, without requiring datasets with manual labels. By combining phage–mediated viable bacterial DNA extraction and enhanced CRISPR–Cas12a systems, this strategy successfully achieves the ultrasensitive detection of viable Salmonella in various real samples, demonstrating enhanced accuracy validated with the qPCR benchmark method. This approach has a low cost (∽$500) and is rapid (∽1 h) and highly sensitive (∽38 CFU mL−1), allowing for the amplification‐free detection of viable bacteria and emerging as a powerful tool for food safety inspection and clinical diagnosis. |
| format | Article |
| id | doaj-art-e3c7173628f9481d829680b2f9fbf7f8 |
| institution | Kabale University |
| issn | 2198-3844 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj-art-e3c7173628f9481d829680b2f9fbf7f82025-01-13T15:29:44ZengWileyAdvanced Science2198-38442025-01-01122n/an/a10.1002/advs.202406912Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable BacteriaYang Zhou0Junpeng Zhao1Junping Wen2Ziyan Wu3Yongzhen Dong4Yiping Chen5State Key Laboratory of Marine Food Processing and Safety Control Dalian Polytechnic University Dalian Liaoning 116034 ChinaCollege of Food Science and Technology Huazhong Agricultural University Wuhan Hubei 430070 ChinaCollege of Food Science and Technology Huazhong Agricultural University Wuhan Hubei 430070 ChinaCollege of Food Science and Technology Huazhong Agricultural University Wuhan Hubei 430070 ChinaState Key Laboratory of Marine Food Processing and Safety Control Dalian Polytechnic University Dalian Liaoning 116034 ChinaState Key Laboratory of Marine Food Processing and Safety Control Dalian Polytechnic University Dalian Liaoning 116034 ChinaAbstract Bacterial infection is a crucial factor resulting in public health issues worldwide, often triggering epidemics and even fatalities. The accurate, rapid, and convenient detection of viable bacteria is an effective method for reducing infections and illness outbreaks. Here, an unsupervised learning–assisted and surface acoustic wave–interdigital transducer‐driven nano‐lens holography biosensing platform is developed for the ultrasensitive and amplification‐free detection of viable bacteria. The monitoring device integrated with the nano‐lens effect can achieve the holographic imaging of polystyrene microsphere probes in an ultra‐wide field of view (∽28.28 mm2), with a sensitivity limit of as low as 99 nm. A lightweight unsupervised learning hologram processing algorithm considerably reduces training time and computing hardware requirements, without requiring datasets with manual labels. By combining phage–mediated viable bacterial DNA extraction and enhanced CRISPR–Cas12a systems, this strategy successfully achieves the ultrasensitive detection of viable Salmonella in various real samples, demonstrating enhanced accuracy validated with the qPCR benchmark method. This approach has a low cost (∽$500) and is rapid (∽1 h) and highly sensitive (∽38 CFU mL−1), allowing for the amplification‐free detection of viable bacteria and emerging as a powerful tool for food safety inspection and clinical diagnosis.https://doi.org/10.1002/advs.202406912bacterial detectionCRISPR–Cas12a systemlens‐free holographyunsupervised learning |
| spellingShingle | Yang Zhou Junpeng Zhao Junping Wen Ziyan Wu Yongzhen Dong Yiping Chen Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria Advanced Science bacterial detection CRISPR–Cas12a system lens‐free holography unsupervised learning |
| title | Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria |
| title_full | Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria |
| title_fullStr | Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria |
| title_full_unstemmed | Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria |
| title_short | Unsupervised Learning‐Assisted Acoustic‐Driven Nano‐Lens Holography for the Ultrasensitive and Amplification‐Free Detection of Viable Bacteria |
| title_sort | unsupervised learning assisted acoustic driven nano lens holography for the ultrasensitive and amplification free detection of viable bacteria |
| topic | bacterial detection CRISPR–Cas12a system lens‐free holography unsupervised learning |
| url | https://doi.org/10.1002/advs.202406912 |
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