Jumping dimensions: Integration of multimodal imaging into a unified brain atlas space

Background & Aim:

Understanding the complex structure and function of the mammalian brain requires advanced methodologies capable of integrating diverse imaging modalities into a unified reference space. Recent advancements in 3D imaging, particularly light-sheet fluorescence microscopy (LSFM), have revolutionized the examination of intact biological specimens. However, integrating LSFM data with other modalities like MRI, histology, and spatial transcriptomics remains a significant challenge. To develop an innovative pipeline that unifies multimodal imaging data within standardized brain atlases. This integration facilitates comprehensive analysis across different scales and data types, enhancing our understanding of neurobiology and accelerating drug discovery for CNS disorders.