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Author Spotlight: An Innovative Approach to Neural Electrical Stimulation Using Calcium Imaging
Published on: August 18, 2023
Reconstruction of burst activity from calcium imaging of neuronal population via Lq minimization and interval
Tingwei Quan1, Xiaohua Lv2, Xiuli Liu2
1Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics - Huazhong University of Science and Technology, Wuhan 430074, China; MoE Key Laboratory for Biomedical Photonics, Department of Biomedical Engineering, Huazhong University of Science and Technology, Wuhan 430074, China; College of Mathematics and Economics, Hubei University of Education, Wuhan 430205, China.
Abstract:
Calcium imaging is becoming an increasingly popular technology to indirectly measure activity patterns in local neuronal networks. Based on the dependence of calcium fluorescence on neuronal spiking, two-photon calcium imaging affords single-cell resolution of neuronal population activity. However, it is still difficult to reconstruct neuronal activity from complex calcium fluorescence traces, particularly for traces contaminated by noise. Here, we describe a robust and efficient neuronal-activity reconstruction method that utilizes Lq minimization and interval screening (IS), which we refer to as LqIS. The simulation results show that LqIS performs satisfactorily in terms of both accuracy and speed of reconstruction. Reconstruction of simulation and experimental data also shows that LqIS has advantages in terms of the recall rate, precision rate, and timing error. Finally, LqIS is demonstrated to effectively reconstruct neuronal burst activity from calcium fluorescence traces recorded from large-size neuronal population.
