Changjia Cai

College of Engineering

Works (3)

Updated: April 5th, 2024 13:51

2022 article

A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution

Zhu, F., Grier, H. A., Tandon, R., Cai, C., Agarwal, A., Giovannucci, A., … Pandarinath, C. (2022, November 24). NATURE NEUROSCIENCE.

By: F. Zhu *, H. Grier*, R. Tandon *, C. Cai n, A. Agarwal, A. Giovannucci n, M. Kaufman *, C. Pandarinath *

MeSH headings : Animals; Mice; Brain; Calcium; Deep Learning; Diagnostic Imaging; Population Dynamics
TL;DR: RADICaL is described, a deep learning method that incorporates a novel network training strategy that capitalizes on the timing of 2p sampling to recover network dynamics with high temporal precision and infers network state more accurately than previous methods. (via Semantic Scholar)
Source: Web Of Science
Added: December 12, 2022

2022 journal article

Sustained deep-tissue voltage recording using a fast indicator evolved for two-photon microscopy

CELL, 185(18), 3408-+.

By: Z. Liu *, X. Lu *, V. Villette *, Y. Gou *, K. Colbert*, S. Lai *, S. Guan *, M. Land* ...

MeSH headings : Animals; Interneurons; Mice; Microscopy / methods; Neurons / physiology; Photons; Wakefulness
TL;DR: JEDI-2P is identified, an indicator that is faster, brighter, and more sensitive and photostable than its predecessors and can report light-evoked responses in axonal termini of Drosophila interneurons and the dendrites and somata of amacrine cells of isolated mouse retina. (via Semantic Scholar)
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Source: Web Of Science
Added: September 26, 2022

2021 journal article

VolPy: Automated and scalable analysis pipelines for voltage imaging datasets

PLOS COMPUTATIONAL BIOLOGY, 17(4).

By: C. Cai n, J. Friedrich *, A. Singh *, M. Eybposh  n, E. Pnevmatikakis *, K. Podgorski *, A. Giovannucci n

MeSH headings : Algorithms; Automation; Brain; Datasets as Topic; Electrophysiological Phenomena; Humans; Image Processing, Computer-Assisted / methods; Neuroimaging / methods; Neurons / physiology; Software
TL;DR: This work presents VolPy, an automated and scalable pipeline to pre-process voltage imaging datasets that features motion correction, memory mapping, automated segmentation, denoising and spike extraction built on a highly parallelizable, modular, and extensible framework optimized for memory and speed. (via Semantic Scholar)
Source: Web Of Science
Added: May 17, 2021

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