تقرير
Data Processing of Functional Optical Microscopy for Neuroscience
| العنوان: | Data Processing of Functional Optical Microscopy for Neuroscience |
|---|---|
| المؤلفون: | Benisty, Hadas, Song, Alexander, Mishne, Gal, Charles, Adam S. |
| سنة النشر: | 2022 |
| المجموعة: | Quantitative Biology |
| مصطلحات موضوعية: | Electrical Engineering and Systems Science - Image and Video Processing, Quantitative Biology - Neurons and Cognition, Quantitative Biology - Quantitative Methods |
| الوصف: | Functional optical imaging in neuroscience is rapidly growing with the development of new optical systems and fluorescence indicators. To realize the potential of these massive spatiotemporal datasets for relating neuronal activity to behavior and stimuli and uncovering local circuits in the brain, accurate automated processing is increasingly essential. In this review, we cover recent computational developments in the full data processing pipeline of functional optical microscopy for neuroscience data and discuss ongoing and emerging challenges. Comment: 33 pages, 5 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2201.03537 |
| رقم الأكسشن: | edsarx.2201.03537 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |