Imperial College London

DrAmandaFoust

Faculty of EngineeringDepartment of Bioengineering

Lecturer
 
 
 
//

Contact

 

+44 (0)20 7594 1055a.foust Website CV

 
 
//

Location

 

RSM 4.05Royal School of MinesSouth Kensington Campus

//

Summary

 

Summary

The ability to manipulate and track neuronal communication is essential to understanding the mechanisms underlying our sensations, perceptions, thoughts, emotions and actions. With a growing toolbox of optical dyes, genetic sensors and actuators, Neuroscience has made science fiction-scale progress toward realizing this important prerequisite for neural circuit reverse engineering. A parallel revolution in photonics research is taking shape to exploit the full potential of photo-molecular tools for brain circuit interrogation. My goal is to engineer bridges between recent optical technology and Neurophysiologists endeavoring to close the loop between theory and experimentation.

Publications

Journals

Verinaz-Jadan H, Song P, Howe CL, et al., 2022, Shift-invariant-subspace discretization and volume reconstruction for light field microscopy, Ieee Transactions on Computational Imaging, Vol:8, ISSN:2573-0436, Pages:286-301

Howe C, Song P, Verinaz Jadan HI, et al., 2022, Comparing synthetic refocusing to deconvolution for the extraction of neuronal calcium transients from light fields, Neurophotonics, Vol:9, ISSN:2329-4248, Pages:1-17

Foust A, Song P, Verinaz Jadan HI, et al., 2022, Light-field microscopy for optical imaging of neuronal activity: when model-based methods meet data-driven approaches, Ieee: Signal Processing Magazine, Vol:39, ISSN:1053-5888

Conference

Song P, Jadan HV, Howe CL, et al., 2021, MODEL-INSPIRED DEEP LEARNING FOR LIGHT-FIELD MICROSCOPY WITH APPLICATION TO NEURON LOCALIZATION, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Pages:8087-8091

More Publications