Complete single neuron reconstruction reveals morphological diversity in molecularly defined claustral and cortical neuron types

摘要: Ever since the seminal findings of Ramon y Cajal, dendritic and axonal morphology has been recognized as a defining feature neuronal types their connectivity. Yet our knowledge about diversity morphology, in particular its distant projections, is still extremely limited. To systematically obtain single neuron full on brain-wide scale mice, we established pipeline that encompasses five major components: sparse labeling, whole-brain imaging, reconstruction, registration, classification. We achieved sparse, robust consistent fluorescent labeling wide range across mouse brain an efficient way by combining transgenic or viral Cre delivery with novel reporter lines, generated large set high-resolution imaging datasets containing thousands reconstructable neurons using fluorescence micro-optical sectioning tomography (fMOST) system. developed software tools based visualization analysis suite, Vaa3D, for large-volume image data processing computation-assisted morphological reconstruction. In proof-of-principle case, reconstructed morphologies 96 from claustrum cortex belong to transcriptomically-defined subclass. data-driven clustering approach classify them into multiple projection types, suggesting these work targeted coordinated manner process cortical information. Imaging new computational reconstruction are publicly available enable community-based efforts towards large-scale throughout entire brain.