CLC number:
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2022-07-06
Cited: 0
Clicked: 1653
Citations: Bibtex RefMan EndNote GB/T7714
Qizheng WANG, Jun LU, Ke FAN, Yiwei XU, Yucui XIONG, Zhiyong SUN, Man ZHAI, Zhizhong ZHANG, Sheng ZHANG, Yan SONG, Jianzhong LUO, Mingliang YOU, Meijin GUO, Xiao ZHANG. High-throughput “read-on-ski” automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids[J]. Journal of Zhejiang University Science B, 2022, 23(7): 564-577.
@article{title="High-throughput “read-on-ski” automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids",
author="Qizheng WANG, Jun LU, Ke FAN, Yiwei XU, Yucui XIONG, Zhiyong SUN, Man ZHAI, Zhizhong ZHANG, Sheng ZHANG, Yan SONG, Jianzhong LUO, Mingliang YOU, Meijin GUO, Xiao ZHANG",
journal="Journal of Zhejiang University Science B",
volume="23",
number="7",
pages="564-577",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2100701"
}
%0 Journal Article
%T High-throughput “read-on-ski” automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids
%A Qizheng WANG
%A Jun LU
%A Ke FAN
%A Yiwei XU
%A Yucui XIONG
%A Zhiyong SUN
%A Man ZHAI
%A Zhizhong ZHANG
%A Sheng ZHANG
%A Yan SONG
%A Jianzhong LUO
%A Mingliang YOU
%A Meijin GUO
%A Xiao ZHANG
%J Journal of Zhejiang University SCIENCE B
%V 23
%N 7
%P 564-577
%@ 1673-1581
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2100701
TY - JOUR
T1 - High-throughput “read-on-ski” automated imaging and label-free detection system for toxicity screening of compounds using personalised human kidney organoids
A1 - Qizheng WANG
A1 - Jun LU
A1 - Ke FAN
A1 - Yiwei XU
A1 - Yucui XIONG
A1 - Zhiyong SUN
A1 - Man ZHAI
A1 - Zhizhong ZHANG
A1 - Sheng ZHANG
A1 - Yan SONG
A1 - Jianzhong LUO
A1 - Mingliang YOU
A1 - Meijin GUO
A1 - Xiao ZHANG
J0 - Journal of Zhejiang University Science B
VL - 23
IS - 7
SP - 564
EP - 577
%@ 1673-1581
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B2100701
Abstract: Organoid models are used to study kidney physiology, such as the assessment of nephrotoxicity and underlying disease processes. Personalized human pluripotent stem cell-derived kidney organoids are ideal models for compound toxicity studies, but there is a need to accelerate basic and translational research in the field. Here, we developed an automated continuous imaging setup with the “read-on-ski” law of control to maximize temporal resolution with minimum culture plate vibration. High-accuracy performance was achieved: organoid screening and imaging were performed at a spatial resolution of 1.1 μm for the entire multi-well plate under 3 min. We used the in-house developed multi-well spinning device and cisplatin-induced nephrotoxicity model to evaluate the toxicity in kidney organoids using this system. The acquired images were processed via machine learning-based classification and segmentation algorithms, and the toxicity in kidney organoids was determined with 95% accuracy. The results obtained by the automated “read-on-ski” imaging device, combined with label-free and non-invasive algorithms for detection, were verified using conventional biological procedures. Taking advantage of the close-to-in vivo-kidney organoid model, this new development opens the door for further application of scaled-up screening using organoids in basic research and drug discovery.
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