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Changjia Cai
Changjia Cai
PhD candidate, UNC Chapel Hill
Verified email at live.unc.edu - Homepage
Title
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Cited by
Year
Sustained deep-tissue voltage recording using a fast indicator evolved for two-photon microscopy
Z Liu, X Lu, V Villette, Y Gou, KL Colbert, S Lai, S Guan, MA Land, J Lee, ...
Cell 185 (18), 3408-3425. e29, 2022
582022
VolPy: Automated and scalable analysis pipelines for voltage imaging datasets
C Cai, J Friedrich, A Singh, MH Eybposh, EA Pnevmatikakis, K Podgorski, ...
PLoS computational biology 17 (4), e1008806, 2021
292021
A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution
F Zhu, HA Grier, R Tandon, C Cai, A Agarwal, A Giovannucci, ...
Nature neuroscience 25 (12), 1724-1734, 2022
162022
FIOLA: an accelerated pipeline for fluorescence imaging online analysis
C Cai, C Dong, J Friedrich, M Rozsa, EA Pnevmatikakis, A Giovannucci
Nature Methods 20 (9), 1417-1425, 2023
5*2023
Computer-Generated Holography Using Point Cloud Processing Neural Networks
MH Eybposh, C Cai, D Deb, MAB Schott, L Ye, GJ Both, SC Turaga, ...
3D Image Acquisition and Display: Technology, Perception and Applications …, 2023
2023
Compressive Fluorescence Microscopy with Targeted Illumination for Fast Voltage Imaging
C Cai, MH Eybposh, J Rodriguez-Romaguera, SC Turaga, N Pegard
Computational Optical Sensing and Imaging, CM3B. 4, 2023
2023
HQA1K Hologram Perceptual Quality Assessment Dataset
MH Eybposh, C Cai, A Moosavi, JR Romaguera, NC Pégard
2023
Teaching optics with LightFlow: an intuitive framework for light propagation simulations
MH Eybposh, C Cai, VR Curtis, NC Pegard
Education and Training in Optics and Photonics, 1272325, 2023
2023
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Articles 1–8