Unknown

Dataset Information

0

Using DeepContact with Amira graphical user interface.


ABSTRACT: DeepContact is a deep learning software for high-throughput quantification of membrane contact site (MCS) in 2D electron microscopy images. This protocol will guide users through incorporating available DeepContact models in Amira's artificial intelligence module, thereby allowing invoking of DeepContact functions in organelle segmentation and quantifying of MCS with a user-friendly graphical user interface of Amira software. For complete details on the use and execution of this protocol, please refer to Liu et al. (2022).1.

SUBMITTER: Liu L 

PROVIDER: S-EPMC10514215 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Using DeepContact with Amira graphical user interface.

Liu Liqing L   Wu Hongjun H   Yang Shuxin S   Yi Ke K   Hu Junjie J   Xiao Li L   Xu Tao T  

STAR protocols 20230916 4


DeepContact is a deep learning software for high-throughput quantification of membrane contact site (MCS) in 2D electron microscopy images. This protocol will guide users through incorporating available DeepContact models in Amira's artificial intelligence module, thereby allowing invoking of DeepContact functions in organelle segmentation and quantifying of MCS with a user-friendly graphical user interface of Amira software. For complete details on the use and execution of this protocol, please  ...[more]

Similar Datasets

| S-EPMC4105585 | biostudies-literature
| S-EPMC2553346 | biostudies-literature
| S-EPMC3413388 | biostudies-literature
| S-EPMC8717307 | biostudies-literature
| S-EPMC6878946 | biostudies-literature
| S-EPMC3939081 | biostudies-literature
| S-EPMC2798115 | biostudies-literature
| S-EPMC6940285 | biostudies-literature
| S-EPMC2639440 | biostudies-literature
| S-EPMC5947771 | biostudies-literature