Robust and fully automatic 3D registration of serial-section microscopic images is critical for
detailed anatomical reconstruction of large biological specimens, such as reconstructions of …

Background High resolution 2D whole slide imaging provides rich information about the
tissue structure. This information can be a lot richer if these 2D images can be stacked into a …

We have developed an open-source software called bi-channel image registration and deep-
learning segmentation (BIRDS) for the mapping and analysis of 3D microscopy data and …

Accurately mapping brain structures in three-dimensions is critical for an in-depth
understanding of brain functions. Using the brain atlas as a hub, mapping detected datasets …

Background Brain mapping research in most neuroanatomical laboratories relies on
conventional processing techniques, which often introduce histological artifacts such as …

High-throughput serial histology imaging provides a new avenue for the routine study of
micro-anatomical structures in a 3D space. However, the emergence of serial whole slide …

We propose a Dual-stream Pyramid Registration Network (referred as Dual-PRNet) for
unsupervised 3D brain image registration. Unlike recent CNN-based registration …

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 …

The registration, segmentation, and annotation of microscopy images and respective
biological objects (eg, cells) are distinct challenges often encountered in bioimage …

Image registration of biological data is challenging as complex deformation problems are
common. Possible deformation effects can be caused in individual data preparation …