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Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging
Published on: December 12, 2012
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Advances in two photon scanning and scanless microscopy technologies for functional neural circuit imaging
Simon R Schultz1, Caroline S Copeland1, Amanda J Foust1
1Center for Neurotechnology and Department of Bioengineering Imperial College London, South Kensington, LondonSW7 2AZ, UK.
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
|August 1, 2017
Summary
Advances in neural circuit imaging technology offer new ways to study brain function. New tools and data analysis methods are crucial for interpreting complex neural activity patterns.
Area of Science:
- Neuroscience
- Biotechnology
- Computational Biology
Background:
- Technological advancements in neural circuit imaging are rapidly evolving.
- This progress enables large-scale imaging of neural populations involved in information processing.
- Such studies hold the potential to significantly advance our understanding of brain function and dysfunction.
Purpose of the Study:
- To review key recent technological advances in neural circuit imaging.
- To discuss the associated technical challenges in signal processing and data analysis.
- To highlight the need for novel data analysis tools for interpreting neural activity patterns.
Main Methods:
- Review of improved fluorophores for single-cell resolution functional neuroimaging using two-photon microscopy.
- Discussion of advanced scanning and scanless microscopy techniques to overcome bandwidth limitations.
- Examination of novel signal processing and data analysis algorithms.
Main Results:
- Improved fluorophores enhance single-cell resolution in neuroimaging.
- Scanless microscopy offers solutions to bandwidth limitations in current imaging techniques.
- New algorithms for region of interest segmentation and calcium transient detection improve signal analysis.
Conclusions:
- Technological progress in neural imaging necessitates the development of sophisticated data analysis tools.
- Advanced algorithms are required to effectively process and interpret large-scale neural activity data.
- Future research will benefit from integrated advancements in both imaging technology and data analysis methodologies.
