Mouse whole brain transparency imaging service

Our company's mouse whole brain imaging service is highly welcomed by customers. Customers only need to send the mouse brain, and we will perform a series of transparency processing and scan imaging on our imaging equipment to obtain the maximum projection image of all brain slices. Then, through our high-performance computing cluster and self-developed algorithms and software, we can store, manage, and analyze image big data, including 3D reconstruction, graph registration, and neuron morphology reconstruction. Customers only need to wait for about ten days to get satisfactory results. Throughout the entire experimental process, customers can see the progress of the experiment implementation on our website.

1. Highlight Function 1:ClearTransparency technology

ClearCharacteristics of Transparency Technology:

1. Covalent fixed structure：ClearThe transparency technology uses covalent bonds to fix the structure, combining the protein, nucleic acid and other structures in the brain slice with the hydrogel framework.

2. Preservation of in-situ structure：ClearDuring the transparency process of technology, the structure within the brain slice remains in place and will not move or distort.

3. Improvement of optical performance：ClearAfter transparency processing, light passing through the tissue will not be deflected, enabling clear and uniform 3D imaging. In contrast, traditional transparency processing methods may cause scattering or refraction of light, affecting imaging quality.

4. Expansion of imaging range：ClearTechnology can process thicker tissue samples (such as brain slices), expanding the imaging range to300μmWithin the thickness range. Traditional transparency processing methods may not be effective for thicker tissue samples, and the imaging range is limited.

2. Highlight Function 2:VISoRHigh throughput 3D imaging

Multidimensional synchronous flight scanning fluorescence microscopy imaging（VISoR）Technology is a new type of fast three-dimensional micro resolution imaging technology. It combines brain tissue transparency, synchronous scanning imaging, and 3D reconstruction technology, which can complete synaptic level analysis of the entire mouse brain with high resolution in a short period of time. The main features of this technology include:

1. Synchronized scanning achieves continuous and clear imaging： Through synchronous scanning, continuous and clear imaging during sample movement has been achieved, greatly improving imaging speed, reaching hundreds of times faster than traditional imaging techniques.

2. Fast imaging speed： in1.5Imaging of the entire mouse brain can be completed within hours, with a resolution of each voxel0.5×0.5×2.5 μm³The generated raw data image is approximately16TB.

3. 多通道成像： Suitable for samples of different sizes, it can perform multi-channel imaging, including tissue samples such as mouse brain, and has broad application prospects.

4. Compatible with various marking methods, expandable to large samples： This technology is compatible with various labeling methods and can be used for different types of samples, even extending to imaging of ultra large samples.

3. Highlight Function Three:PBLevel image big data analysis

We have achieved the goal ofPBThe storage, management, and various analyses of large-scale image data, including image stitching, 3D reconstruction, graph registration, and neural morphology reconstruction.

ButPBLevel image big data analysis（Petabyte-scale image data analysis）Has the following characteristics:

1. Dealing with a large scale：PBLarge scale image data means that the amount of data is very large, and the number of images that need to be processed can reach millions or even more. This large-scale data requires efficient computing and storage systems for processing and management.

2. High dimensional data： Image data is usually high-dimensional, and each pixel may contain information from multiple dimensions. Therefore, forPBThe analysis of large-scale image data needs to consider the multidimensional characteristics of the data.

3. compute-intensive： ToPBAnalyzing large-scale image data typically requires a significant amount of computation, such as image processing, feature extraction, pattern recognition, and so on. These calculations are typically intensive and require the use of high-performance computing resources for processing.

4. High storage requirements：PBLarge scale storage systems are required for managing and storing large-scale image big data. These storage systems need to have the characteristics of high capacity, high reliability, and high throughput to meet the needs of data storage and access.

3、 Technical advantages

1. Transparency technology

ClearThe advantages of transparency methods:

a. Based on hydrogel embedding：

ClearThe method is based on the transparent method of hydrogel embedding, which uses hydrogel as the support matrix.

b. Transparency thickness and clarity：

ClearThe method is applicable to300μmThe transparency of biological tissues within the thickness range can achieve uniform and clear three-dimensional imaging.

c. Ease of operation：

ClearThe method does not require complex electrophoresis steps and is easier to operate.

2. VISoRtechnology

VISoRTechnology has the following advantages:

a. Ultra high speed and high-resolution imaging：VISoRIt can achieve high-resolution imaging beyond camera limitations and has a very fast imaging speed, providing an efficient tool for research.

b. Short sample preparation time, not limited by size： Compared to other imaging techniques,VISoRThe required sample preparation time is relatively short and not limited by the original sample size, which reduces the complexity of experimental preparation.

c. Compatible with immunostaining or in situ fluorescence hybridization techniques：VISoRThe technology is compatible with immunostaining or in situ fluorescence hybridization techniques, allowing researchers to combine multiple labeling methods for research.

d. Scalable imaging range：VISoRThe imaging range is limited only by the displacement table used to move the sample, and has strong scalability, which can be applied to samples of different sizes.

3. Data analysis technology

a. Image stitching（Image Stitching）：

Concatenate multiple local images into a global image to obtain a broader field of view or higher resolution. Improved the information content and visualization effect of the image, which helps to comprehensively understand the structure and features of the sample.

b. 3D reconstruction（3D Reconstruction）：

3D reconstruction data processing is an important field in modern technology, which can convert 2D images or point cloud data into 3D models. 3D reconstruction provides a three-dimensional view of the sample, which can more comprehensively display the spatial structure and organizational features of the sample, helping to deepen the understanding of the anatomy and function of the sample.

c. Graph registration（Atlas Registration）：

Register images or data from multiple samples onto a standard spatial map to enable comparison and analysis between different samples. Making the structure and function of different samples comparable helps to discover and understand the differences and similarities between different samples, as well as the correlations between different regions.

d. Reconstruction of neuronal morphology（Neuron Morphology Reconstruction）：

Reconstructing the morphological structure of neurons through image processing and analysis methods based on their morphological features in images has become a focus of global scientists. Neuronal morphological reconstruction provides morphological information of neurons, including the morphology and connectivity of dendrites, axons, and synapses, which helps to understand the organization and function of neural networks.

These image processing and analysis tasks are of great significance in neuroscience research. By processing and analyzing large amounts of image data, we can delve into the structure and function of the nervous system, revealing its inherent laws and mechanisms.

4product

Mouse Brain Rapid Imaging Service:

Perform a series of preparation processes, including tissue transparency and sectioning, for the mouse brain provided to customers, and carry outVISoRThree dimensional fluorescence imaging. The final result delivered to the customer is the maximum projection of all brain slices. In the future, according to the needs of customers, we can also use the high-performance computing cluster we have built, as well as self-developed algorithms and software, to achievePBThe storage, management, and various analyses of large-scale image data, including image stitching, 3D reconstruction, graph registration, and neural morphology reconstruction.

Supported tagging methods: Transgenic markers, virus tracingCTbTracer, nucleus（DAPI）Staining, immunofluorescence stainingNisslDyeing, etc

The entire process takes time 10sky

Preparation process:

1. Injecting virus

Support for genetically modified markers, virus tracingCTbTracer, nucleus(DAPI)Staining, immunofluorescence stainingNisslVarious labeling methods such as staining.

2. Brain collection and delivery

Send us the perfused mouse brain samples.

3. Fixed embedding

Embedded in the hydrogel, the sample shape is fixed, and it is not easy to deform.

4. Cut into thick slices

Cut the embedded mouse brain into sections using a vibration slicer300A micrometer thick sheet.

5. patch

Cut it into pieces40-50Slices of mouse brain are attached to a specially made glass slide and prepared for transparency treatment

6. organizational transparency

UseClearMethod for organizing transparency. If small molecule or antibody labeling is required, it should be done after transparency.

7. VISoRimaging

UseVISoRMicroscope within half an hour1×1×2.5 μm3Resolution, or within two hours0.5×0.5×2.5 μm3Complete three-dimensional fluorescence imaging of the complete mouse brain with high resolution.

8. 2D reconstruction

Generating the maximum projection map of these brain slices can quickly evaluate the research value of the samples.

9. More analysis

3D reconstruction, cell counting, neuronal morphology reconstruction, etc.