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Time-Dependent Image Restoration of Low-SNR Live-Cell Ca2 Fluorescence Microscopy Data
- Source :
- International Journal of Molecular Sciences, International Journal of Molecular Sciences, Vol 22, Iss 11792, p 11792 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Live-cell Ca2+ fluorescence microscopy is a cornerstone of cellular signaling analysis and imaging. The demand for high spatial and temporal imaging resolution is, however, intrinsically linked to a low signal-to-noise ratio (SNR) of the acquired spatio-temporal image data, which impedes on the subsequent image analysis. Advanced deconvolution and image restoration algorithms can partly mitigate the corresponding problems but are usually defined only for static images. Frame-by-frame application to spatio-temporal image data neglects inter-frame contextual relationships and temporal consistency of the imaged biological processes. Here, we propose a variational approach to time-dependent image restoration built on entropy-based regularization specifically suited to process low- and lowest-SNR fluorescence microscopy data. The advantage of the presented approach is demonstrated by means of four datasets: synthetic data for in-depth evaluation of the algorithm behavior; two datasets acquired for analysis of initial Ca2+ microdomains in T-cells; finally, to illustrate the transferability of the methodical concept to different applications, one dataset depicting spontaneous Ca2+ signaling in jGCaMP7b-expressing astrocytes. To foster re-use and reproducibility, the source code is made publicly available.
- Subjects :
- Source code
QH301-705.5
Computer science
media_common.quotation_subject
Signal-To-Noise Ratio
deconvolution
fluorescence microscopy
image restoration
Regularization (mathematics)
live-cell imaging
Catalysis
Synthetic data
Inorganic Chemistry
Jurkat Cells
Ca2+ imaging
Live cell imaging
Image Processing, Computer-Assisted
Humans
Calcium Signaling
Biology (General)
Physical and Theoretical Chemistry
Entropy (energy dispersal)
QD1-999
Molecular Biology
Spectroscopy
Image restoration
media_common
business.industry
Communication
Organic Chemistry
Resolution (electron density)
low signal-to-noise ratio
Pattern recognition
General Medicine
Models, Theoretical
Computer Science Applications
Chemistry
Microscopy, Fluorescence
Calcium
Deconvolution
Artificial intelligence
business
Algorithms
Subjects
Details
- ISSN :
- 14220067
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- International Journal of Molecular Sciences
- Accession number :
- edsair.doi.dedup.....9648878a5c566c625b2d0f44aa25bea0
- Full Text :
- https://doi.org/10.3390/ijms222111792