CryoVIA: An image analysis toolkit for the quantification of membrane structures from cryo-EM micrographs DOI Creative Commons
Philipp Schönnenbeck, Benedikt Junglas, Carsten Sachse

и другие.

Structure, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Highlights•A software suite for automated analysis of lipid membranes in electron micrographs•Includes segmentation, shape identification, and membrane properties•Applied to datasets with different lipids protein-induced changes•Features an intuitive GUI batch micrograph analysisSummaryImaging structures associated protein complexes using cryoelectron microscopy (cryo-EM) is a common visualization structure determination technique. The quantitative the structures, however, not routine time consuming particular when large amounts data are involved. Here, we introduce image-processing cryo-vesicle image analyzer (CryoVIA) that parametrizes from cryo-EM images. This toolkit combines identification methods automatically perform large-scale local global properties such as bilayer thickness, size, curvature including classifications. We included analyses exemplary compositions changes through endosomal sorting required transport III (ESCRT-III) remodeling protein. opens new possibilities systematically study structural their modifications images.Graphical abstract

Язык: Английский

Nanodiscs remain indispensable for Cryo-EM studies of membrane proteins DOI

Giorgos Hiotis,

Ryan Q. Notti, Huan Bao

и другие.

Current Opinion in Structural Biology, Год журнала: 2025, Номер 92, С. 103042 - 103042

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

1
SynapseNet: Deep Learning for Automatic Synapse Reconstruction DOI Open Access

Sarah Muth,

Frederieke Moschref,

Luca Freckmann

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 5, 2024

Abstract Electron microscopy is an important technique for the study of synaptic morphology and its relation to function. The data analysis this task requires segmentation relevant structures, such as vesicles, active zones, mitochondria, presynaptic densities, ribbons, compartments. Previous studies were predominantly based on manual segmentation, which very time-consuming prevented systematic large datasets. Here, we introduce SynapseNet, a tool automatic synapses in electron micrographs. It can reliably segment vesicles other structures wide range approaches, thanks annotated dataset, assembled, domain adaptation functionality developed. We demonstrated capability (semi-)automatic biological two applications made it available easy-to-use enable novel data-driven insights into synapse organization

Язык: Английский

Процитировано

3
CryoVIA: An image analysis toolkit for the quantification of membrane structures from cryo-EM micrographs DOI Creative Commons
Philipp Schönnenbeck, Benedikt Junglas, Carsten Sachse

и другие.

Structure, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Highlights•A software suite for automated analysis of lipid membranes in electron micrographs•Includes segmentation, shape identification, and membrane properties•Applied to datasets with different lipids protein-induced changes•Features an intuitive GUI batch micrograph analysisSummaryImaging structures associated protein complexes using cryoelectron microscopy (cryo-EM) is a common visualization structure determination technique. The quantitative the structures, however, not routine time consuming particular when large amounts data are involved. Here, we introduce image-processing cryo-vesicle image analyzer (CryoVIA) that parametrizes from cryo-EM images. This toolkit combines identification methods automatically perform large-scale local global properties such as bilayer thickness, size, curvature including classifications. We included analyses exemplary compositions changes through endosomal sorting required transport III (ESCRT-III) remodeling protein. opens new possibilities systematically study structural their modifications images.Graphical abstract

Язык: Английский

Процитировано

0