Revealing the nanoscale organization of pathological aggregates in human brain by stochastic optical reconstruction microscopy (CAT#: STEM-MIT-0376-LJX)

Introduction

Histological analysis of brain tissue samples provides valuable information about the pathological processes leading to common neurodegenerative disorders. In this context, the development of novel high-resolution imaging approaches is a current challenge in neuroscience.
The service uses a recent super-resolution imaging technique called Stochastic Optical Reconstruction Microscopy (STORM) to analyse human brain sections. We combined STORM cell imaging protocols with neuropathological techniques to image cryopreserved brain samples from control subjects and patients with neurodegenerative diseases.

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Principle Applications Procedure Materials Notes Related Products

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:
Human brain tissues

Notes

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

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