Overview

This website contains links to the confocal image datasets and code produced to perform quantitative image analysis of NCDN and FUS. The code for segmentation of the FUS granules is based on The Allen Cell & Structure Segmenter.

Source Code

The source code is publicly available on GitHub.

Paper

Nicolas, G., Sévigny, M., Lecoquierre, M., Marguet,F., Deschênes,A., Del Carmen Pelaez, M., Feuillette,S., Audebrand,A., Lecourtois,M., Rousseau,S., Richard,A., Cassinari,K., Deramecourt,V., Duyckaerts,C., Boland,A., Deleuze,J., Meyer,V., Clarimon Echavarria,J., Gelpi,E., Akiyama,H., Hasegawa,M., Kawakami,I., H.Wong,T., Van Rooij,J., Van Swieten,J., Campion,D., Dutchak,P., Wallon,D., Lavoie-Cardinal,F., Laquerrière,A., Rovelet-Lecrux,A., Sephton, C. A postzygotic de novo NCDN mutation identified in a sporadic FTLD patient results in Neurochondrin haploinsufficiency and altered FUS granule dynamics. Acta Neuropathologica Communications. (2022).

The paper is available here.

Datasets

We provide the download links to the datasets used in the paper below.

Cytoplasmic NCDN Confocal z-stacks
Dataset
FUS Granules Confocal z-stacks
Dataset

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