Intelligence Medicine 智慧医疗

Intelligent Biosensing

智能生物传感

Overview of MCellNet, a deep neural network that enables imaging flow cytometry for Cryptosporidium and Giardia detection. The system consists of laser, flow cytometry, imaging system, image database and deep neural network.

MCellNet基于图像流式细胞仪及深度学习网络，实现对Cryptosporidium及Giardia的单细胞快速识别与分类。

Deep learning-enabled imaging flow cytometry for high-speed Cryptosporidium and Giardia detection, Cytometry Part A, 2021, 1–11.

Schematic illustration of smart sensor framework. (a) Acquisition of resonant spectrum using ring resonator–based smart sensor. (b) Resonant spectra are collected into a data library. (c) Transformation of resonant spectra to matrices. (d) Neural network training with transformed resonant spectra. (e) Composition prediction with neural network model.

基于硅光共震环的只能生物传感系统。系统通过硅光共震环的共振偏移感知检测目标物，并采集共振响应曲线。通过神经网络对共振响应曲线的分类，实现目标物的识别与量化。

Smart ring resonator–based sensor for multicomponent chemical analysis via machine learning, Photonics Research, 2021, 9, 02000B38.

Intelligent Control of Medical Platforms

医疗平台智能控制

An intelligent magnetic digital microfluidic (MDM) in vitro diagnostic platform with closed-loop feedback empowered by deep neural network and computer vision. It could automatically rectify failed droplet operations and offer offer precise and error-free droplet control for a wide range of IVD applications.

通过计算机视觉与深度神经网络为磁性数字微流体体外诊断平台提供闭合回路负反馈，实现磁性数字微流体系统对液滴的智能化控制与自动纠错。