Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data
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Résumé
In vivo calcium imaging through microendoscopic lenses enables imaging of previously inaccessible neuronal populations deep within the brains of freely moving animals. However, it is computationally challenging to extract single-neuronal activity from microendoscopic data, because of the very large background fluctuations and high spatial overlaps intrinsic to this recording modality. Here, we describe a new constrained matrix factorization approach to accurately separate the background and then demix and denoise the neuronal signals of interest. We compared the proposed method against previous independent components analysis and constrained nonnegative matrix factorization approaches. On both simulated and experimental data recorded from mice, our method substantially improved the quality of extracted cellular signals and detected more well-isolated neural signals, especially in noisy data regimes. These advances can in turn significantly enhance the statistical power of downstream analyses, and ultimately improve scientific conclusions derived from microendoscopic data.
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La notice
- Revue
- eLife
- Thématique
- Neural dynamics and brain function
- Domaine
- Neuroscience
- Établissements canadiens
- —
- Organismes subventionnaires
- Army Research OfficeEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Biomedical Imaging and BioengineeringNational Institute of Neurological Disorders and StrokeNational Institute on AgingNew York State Stem Cell ScienceCanadian Institutes of Health ResearchIntelligence Advanced Research Projects ActivityDefense Advanced Research Projects AgencyInternational Mental Health Research OrganizationNational Institute of Mental HealthHope for Depression Research FoundationSimons FoundationNational Institute on Drug AbuseHoward Hughes Medical Institute
- Mots-clés
- Non-negative matrix factorizationComputer scienceCalcium imagingIn vivoArtificial intelligencePattern recognition (psychology)Matrix decompositionMatrix (chemical analysis)Computer visionCalciumBiologyChemistryPhysics
- Résumé présent dans OpenAlex
- oui