moco: Fast Motion Correction for Calcium Imaging

Motion correction is the first step in a pipeline of algorithms to analyze calcium imaging videos and extract biologically relevant information, for example the network structure of the neurons therein. Fast motion correction is especially critical for closed-loop activity triggered stimulation expe...

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Main Authors: Alexander eDubbs, Rafael eYuste, James eGuevara
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-02-01
Series:Frontiers in Neuroinformatics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2016.00006/full
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author Alexander eDubbs
Rafael eYuste
James eGuevara
author_facet Alexander eDubbs
Rafael eYuste
James eGuevara
author_sort Alexander eDubbs
collection DOAJ
description Motion correction is the first step in a pipeline of algorithms to analyze calcium imaging videos and extract biologically relevant information, for example the network structure of the neurons therein. Fast motion correction is especially critical for closed-loop activity triggered stimulation experiments, where accurate detection and targeting of specific cells in necessary. We introduce a novel motion-correction algorithm that uses a Fourier-transform approach, and a combination of judicious downsampling and the accelerated computation of many $L_2$ norms using dynamic programming and two-dimensional, fft-accelerated convolutions, to enhance its efficiency. Its accuracy is comparable to that of established community-used algorithms, and it is more stable to large translational motions. It is programmed in Java and is compatible with ImageJ.
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spelling doaj.art-9d854a54895e46d093058d4993d9fc642022-12-21T20:12:24ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962016-02-011010.3389/fninf.2016.00006173364moco: Fast Motion Correction for Calcium ImagingAlexander eDubbs0Rafael eYuste1James eGuevara2Columbia UniversityColumbia UniversityColumbia UniversityMotion correction is the first step in a pipeline of algorithms to analyze calcium imaging videos and extract biologically relevant information, for example the network structure of the neurons therein. Fast motion correction is especially critical for closed-loop activity triggered stimulation experiments, where accurate detection and targeting of specific cells in necessary. We introduce a novel motion-correction algorithm that uses a Fourier-transform approach, and a combination of judicious downsampling and the accelerated computation of many $L_2$ norms using dynamic programming and two-dimensional, fft-accelerated convolutions, to enhance its efficiency. Its accuracy is comparable to that of established community-used algorithms, and it is more stable to large translational motions. It is programmed in Java and is compatible with ImageJ.http://journal.frontiersin.org/Journal/10.3389/fninf.2016.00006/fullDynamic Programmingcalcium imagingMotion CorrectionFourier TransformMesoscale Neuroscience
spellingShingle Alexander eDubbs
Rafael eYuste
James eGuevara
moco: Fast Motion Correction for Calcium Imaging
Frontiers in Neuroinformatics
Dynamic Programming
calcium imaging
Motion Correction
Fourier Transform
Mesoscale Neuroscience
title moco: Fast Motion Correction for Calcium Imaging
title_full moco: Fast Motion Correction for Calcium Imaging
title_fullStr moco: Fast Motion Correction for Calcium Imaging
title_full_unstemmed moco: Fast Motion Correction for Calcium Imaging
title_short moco: Fast Motion Correction for Calcium Imaging
title_sort moco fast motion correction for calcium imaging
topic Dynamic Programming
calcium imaging
Motion Correction
Fourier Transform
Mesoscale Neuroscience
url http://journal.frontiersin.org/Journal/10.3389/fninf.2016.00006/full
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