Xiaodan Jiang
6 Papers
4 Citations
Xiaodan Jiang is an academic researcher. The author has contributed to research in topics: Chemistry & Sensitivity (control systems). The author has an hindex of 2, co-authored 4 publications.
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Papers
A highly sensitive, real-time centrifugal microfluidic chip for multiplexed detection based on isothermal amplification
Xiaodan Jiang,Qiang Fu,Donglin Xu,Lulu Zhang,Xianbo Qiu +4 more
TL;DR: Researchers developed a real-time centrifugal microfluidic chip for highly sensitive, multiplexed nucleic acid detection using isothermal amplification, achieving improved sensitivity through active mixing and two-stage amplification strategies.
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A Hand-Held, Real-Time, AI-Assisted Capillary Convection PCR System for Point-of-Care Diagnosis of African Swine Fever Virus
Guijun Miao,Xiaodan Jiang,Dianlong Yang,Qiang Fu,Lulu Zhang,Shengxiang Ge,Xiangzhong Ye,Ning Xia,Shizhi Qian,Xianbo Qiu +9 more
TL;DR: In this article , a hand-held, low-cost and real-time convection polymerase chain reaction (CPCR) system is developed for point-of-care diagnosis of African swine fever (ASF) virus.
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Analysis of cellular response to drugs with a microfluidic single-cell platform based on hyperspectral imaging
Luyao Liu,Lulu Zhang,Xueyu Zhang,Xiaobin Dong,Xiaodan Jiang,Xiaoqi Huang,Wei Li,Xiaoming Xie,Xianbo Qiu +8 more
TL;DR: The high-throughput, rapid analysis of cellular response to drugs at the single-cell level can be accurately performed by the platform and the optimal single-cell trapping method was proposed to contribute to the further application of hyperspectral imaging on microfluidic single-cell analysis.
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Application of ANN to Nucleic Acid Analysis: Accurate Discrimination for Untypical Real-Time Fluorescence Curves with High Specificity and Sensitivity
TL;DR: In this article , an artificial intelligence (AI) classification method with artificial neural network (ANN) modeling is developed to improve the accuracy of nucleic acid detection, which can be used to solve similar problem with traditional PCR, or isothermal amplification.
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AI-Assisted Analysis to HIV Lateral Flow Test with a Hybrid Model Running on a Distributed Diagnosis System
Xinying Huang,Xiaobin Dong,Wenbo Yang,Xiaodan Jiang,Luyao Liu,Lulu Zhang,Xianbo Qiu,Xiaolei Zhang,Dong Wang,Shengxiang Ge,Ning Xia,Wei Li +11 more
- 05 Nov 2022
TL;DR: In this paper , a distributed diagnosis system for point-of-care (POC) diagnosis, which relies on a handheld device for field test, and as well as a remote server for analysis of detection result, is developed based on the concept of cloud platform.
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