Truncated M13 phage for smart detection of E. coli under dark field
The study established a rapid and accurate detection strategy for E. coli utilizing truncated M13 phages as capture probes, along with a dark field microscopy detection platform that integrates an image processing model and convolutional neural network.
Authors
- Chih‐Tsung Yang (ORCID: https://orcid.org/0000-0003-4878-7589)
- Benjamin Thierry (ORCID: https://orcid.org/0000-0002-6757-2842)
- Chen Zhang (ORCID: https://orcid.org/0000-0002-2924-7854)
- Jiasheng Yuan (ORCID: https://orcid.org/0000-0003-3808-912X)
- Xin Zhou (ORCID: https://orcid.org/0009-0000-5439-1359)
- Huquan Zhu
- Shixinyi Li
Institutions
- University of South Australia (AU)
- Ministry of Education (MV)
- Yangzhou University (CN)
Publication Details
- Journal
- Journal of Nanobiotechnology
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1186/s12951-024-02881-y
- Citations
- 7
- Primary Topic
- Bacteriophages and microbial interactions
- Type
- article
- Field-Weighted Citation Impact
- 3.21
Funders
- National Natural Science Foundation of China
- Priority Academic Program Development of Jiangsu Higher Education Institutions