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Xiaochen Qin

Showing results (1-10 of 19) with videos related to

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Biomicrofluidics|November 22, 2021
From cell spheroids to vascularized cancer organoids: Microfluidic tumor-on-a-chip models for preclinical drug evaluationsYue Wu, Yuyuan Zhou, Xiaochen Qin, et al.
ACS Applied Materials & Interfaces|January 24, 2023
Hierarchical Vessel Network-Supported Tumor Model-on-a-Chip Constructed by Induced Spontaneous AnastomosisYuyuan Zhou, Yue Wu, Ratul Paul, et al.
Biosensors & Bioelectronics: X|January 31, 2024
Multiplex solid-phase RPA coupled CRISPR-based visual detection of SARS-CoV-2Xiaochen Qin, Ratul Paul, Yuyuan Zhou, et al.
Scientific Reports|July 24, 2020
Label-free detection of rare circulating tumor cells by image analysis and machine learningShen Wang, Yuyuan Zhou, Xiaochen Qin, et al.
Journal of Environmental Sciences (China)|July 2, 2025
Tracing CO<sub>2</sub> emission characteristics in Central China based on the simultaneous measurements of atmospheric CO<sub>2</sub>, CO and δ<sup>13</sup>CLingjun Xia, Lixin Liu, Gen Zhang, et al.
Analytical Chemistry|August 23, 2022
Adaptable Microfluidic Vessel-on-a-Chip Platform for Investigating Tumor Metastatic Transport in BloodstreamYue Wu, Yuyuan Zhou, Ratul Paul, et al.
Nature Communications|July 27, 2023
Rapid prototyping of high-resolution large format microfluidic device through maskless image guided in-situ photopolymerizationRatul Paul, Yuwen Zhao, Declan Coster, et al.
ACS Sensors|September 17, 2025
Versatile Image-Assisted Cell Sorting by Selective Trapping with Spatiotemporal Multiparameter TargetingRatul Paul, Yuwen Zhao, Partho Adhikary, et al.
Microsystems & Nanoengineering|March 6, 2025
MIML: multiplex image machine learning for high precision cell classification via mechanical traits within microfluidic systemsKhayrul Islam, Ratul Paul, Shen Wang, et al.
Arxiv|September 25, 2023
MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic SystemsKhayrul Islam, Ratul Paul, Shen Wang, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Biomicrofluidics|November 22, 2021
From cell spheroids to vascularized cancer organoids: Microfluidic tumor-on-a-chip models for preclinical drug evaluationsYue Wu, Yuyuan Zhou, Xiaochen Qin, et al.
ACS Applied Materials & Interfaces|January 24, 2023
Hierarchical Vessel Network-Supported Tumor Model-on-a-Chip Constructed by Induced Spontaneous AnastomosisYuyuan Zhou, Yue Wu, Ratul Paul, et al.
Biosensors & Bioelectronics: X|January 31, 2024
Multiplex solid-phase RPA coupled CRISPR-based visual detection of SARS-CoV-2Xiaochen Qin, Ratul Paul, Yuyuan Zhou, et al.
Scientific Reports|July 24, 2020
Label-free detection of rare circulating tumor cells by image analysis and machine learningShen Wang, Yuyuan Zhou, Xiaochen Qin, et al.
Journal of Environmental Sciences (China)|July 2, 2025
Tracing CO<sub>2</sub> emission characteristics in Central China based on the simultaneous measurements of atmospheric CO<sub>2</sub>, CO and δ<sup>13</sup>CLingjun Xia, Lixin Liu, Gen Zhang, et al.
Analytical Chemistry|August 23, 2022
Adaptable Microfluidic Vessel-on-a-Chip Platform for Investigating Tumor Metastatic Transport in BloodstreamYue Wu, Yuyuan Zhou, Ratul Paul, et al.
Nature Communications|July 27, 2023
Rapid prototyping of high-resolution large format microfluidic device through maskless image guided in-situ photopolymerizationRatul Paul, Yuwen Zhao, Declan Coster, et al.
ACS Sensors|September 17, 2025
Versatile Image-Assisted Cell Sorting by Selective Trapping with Spatiotemporal Multiparameter TargetingRatul Paul, Yuwen Zhao, Partho Adhikary, et al.
Microsystems & Nanoengineering|March 6, 2025
MIML: multiplex image machine learning for high precision cell classification via mechanical traits within microfluidic systemsKhayrul Islam, Ratul Paul, Shen Wang, et al.
Arxiv|September 25, 2023
MIML: Multiplex Image Machine Learning for High Precision Cell Classification via Mechanical Traits within Microfluidic SystemsKhayrul Islam, Ratul Paul, Shen Wang, et al.
Pageof 2