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DeepSlice:快速全自动将小鼠脑成像与容积图谱进行配准。

DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas.

机构信息

Macquarie Medical School, Faculty of Medicine, Health & Human Sciences, Macquarie University, Marsfield, NSW, Australia.

Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.

出版信息

Nat Commun. 2023 Sep 21;14(1):5884. doi: 10.1038/s41467-023-41645-4.

Abstract

Registration of data to a common frame of reference is an essential step in the analysis and integration of diverse neuroscientific data. To this end, volumetric brain atlases enable histological datasets to be spatially registered and analyzed, yet accurate registration remains expertise-dependent and slow. In order to address this limitation, we have trained a neural network, DeepSlice, to register mouse brain histological images to the Allen Brain Common Coordinate Framework, retaining registration accuracy while improving speed by >1000 fold.

摘要

将数据注册到共同参照系是分析和整合不同神经科学数据的重要步骤。为此,容积脑图谱使组织学数据集能够进行空间配准和分析,但准确的配准仍然依赖于专业知识并且速度较慢。为了解决这个限制,我们已经训练了一个神经网络 DeepSlice,将小鼠大脑组织学图像注册到 Allen 大脑共同坐标框架,在保持注册准确性的同时,速度提高了 1000 多倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46b0/10514056/6e0070e95000/41467_2023_41645_Fig1_HTML.jpg

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