Crossmark

Deep learning-driven morphological fingerprinting: rapid, accurate and low-cost pathogen identification via the analysis of dried patterns of droplets

Crossref DOI link: https://doi.org/10.1186/s12951-025-03923-9

Published Online: 2025-12-29

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Guan, Shujuan

Yang, Ruyue

Deng, Danning

Long, Huilin

Ou, Zihao

Ge, Xiaoxue

Jiang, Xiujuan

Hu, Xiumei

Chen, Dingqiang
Funding

Funding for this research was provided by:

Youth Cultivation Project of Zhujiang Hospital Presidential Fund (yzjj2024qn37)

Guangdong Provincial Clinical Research Center for Laboratory Medicine (2023B110008)
License Information

Text and Data Mining valid from 2025-12-29

Version of Record valid from 2026-02-03
More Information

Article History

Received: 16 August 2025

Accepted: 2 December 2025

First Online: 29 December 2025

Declarations

:

: The study was approved by the institutional ethical committees of the Nanfang Hospital (NFEC-202404-Q2).

: All authors have approved the manuscript and agree for the submission.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below