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Volumetric super-resolution imaging of mouse neural tissue by serial ultrasectioning and stochastic optical reconstruction microscopy (CAT#: STEM-MIT-0386-LJX)

Introduction

Nerve tissue is made up of nerve cells and glial cells, which are cells with protuberance. Nerve cells are the structural and functional units of the nervous system, also known as neurons. There are so many neurons that they have the ability to receive stimuli, transmit impulses, and integrate information. Some neurons also have endocrine functions.




Principle

Principles of stochastic optical reconstruction microscopy: By fitting the two-dimensional Gaussian function to determine the centroid of microscope-formed light spots, a single fluorescent source (such as a fluorescent group) can be located with high precision. The accuracy of the calculation to determine the centroid depends only on the number of photons collected, and the resolution scale can be tens of nanometers or smaller. To achieve this accuracy, the density of the fluorescent molecules being tested is required to be low enough that the spots of the two fluorescent groups are unlikely to overlap.

Applications

Imaging in two or three dimensions, in multiple colors, and even in living cells
Applied in many areas of the life sciences, and provides very high resolution images for many different needs from neuroscience to subcellular science

Procedure

1. Sampling
2. Preparation of slices
3. Staining (Select according to the specific experimental situation)
4. Observation

Materials

• Sample Type:
Mouse neural tissue

Notes

Operate in strict accordance with the operating procedures, and shall not arbitrarily change the operating procedures
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