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Three-dimensional mapping in multi-samples with large-scale imaging and multiplexed post staining.

Siqi Chen¹, Guangcai Liu¹, Anan Li^1,2

¹Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.

Communications Biology

|February 3, 2023

Summary

This summary is machine-generated.

Array fluorescent micro-optical sectioning tomography (array-fMOST) enables high-resolution, multi-sample whole-organ imaging. This technology aids in understanding tissue organization and disease mechanisms by analyzing neuronal distribution and circuits.

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Area of Science:

Neuroscience
Bioimaging
Anatomical Sciences

Background:

Understanding biological tissue organization and disease requires single-cell anatomical data.
Current methods face challenges in large-scale, multi-sample, whole-organ imaging and analysis.
Mapping complex tissues necessitates advanced imaging techniques for detailed cellular resolution.

Purpose of the Study:

To introduce array fluorescent micro-optical sectioning tomography (array-fMOST) for 3D, single-cell resolution imaging of multiple samples.
To demonstrate the application of array-fMOST in studying neurodegenerative and neurodevelopmental conditions.
To provide a scalable pipeline for high-dimensional anatomical and molecular phenotype analysis.

Main Methods:

Developed a pipeline involving array embedding, large-scale imaging, post-imaging staining, and data analysis.
Utilized array-fMOST to image over 24 mouse brains simultaneously.
Employed transgenic mice for studying somatostatin neuron distribution during aging and viral labeling for analyzing input circuits in disease models.

Main Results:

Acquired detailed distribution information of somatostatin neurons across natural aging.
Quantitatively compared microenvironmental changes using multi-component labeling and precise co-registration.
Analyzed input circuits of the medial prefrontal cortex in Alzheimer's disease and autism model mice.

Conclusions:

Array-fMOST is a highly scalable approach for anatomical alterations screening and identification.
The pipeline integrates multi-sample whole-organ imaging with molecular phenotype analysis.
This method accelerates the understanding of disease pathogenesis and progression in situ.