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In vivo Imaging of Deep Cortical Layers using a Microprism
Published on: August 27, 2009
In vivo imaging of deep cortical layers using a microprism
Thomas H Chia1, Michael J Levene
1Department of Biomedical Engineering, Yale University, USA.
Journal of Visualized Experiments : Jove
|August 29, 2009
Summary
A novel microprism probe enables in vivo imaging of deep cortical layers and neuronal structures. This method provides a unique perspective for visualizing brain tissue and blood flow dynamics.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Optical Imaging
Background:
- In vivo imaging of deep cortical layers is challenging.
- Existing methods often lack the necessary resolution or field-of-view.
- Visualizing neuronal morphology and microvasculature in deep brain regions requires advanced techniques.
Purpose of the Study:
- To introduce a novel microprism probe for in vivo imaging of the cerebral cortex.
- To demonstrate the capability of the microprism probe for visualizing deep cortical layers and cellular structures.
- To detail the protocol, surgical procedure, and microscope setup for using the microprism probe.
Main Methods:
- Development of a 1-mm microprism probe with a reflective coating for internal light reflection.
- Simultaneous imaging of multiple cortical layers with a large field-of-view (approx. 900 microm).
- Non-survival surgical procedures and specific microscope configurations were employed.
Main Results:
- High-resolution in vivo imaging of layer V pyramidal neurons, including apical dendrites and dendritic spines.
- Visualization of the cortical vasculature network using fluorescent dye injection.
- Measurement of red blood cell (RBC) velocity and flux rates in capillaries via line-scanning.
Conclusions:
- The microprism probe offers an effective method for in vivo visualization of deep cellular structures in the cortex.
- This technique allows for the study of neuronal morphology and microvascular dynamics with unprecedented detail.
- The microprism probe represents a significant advancement in neuroimaging capabilities.

