Skip to main content

membrane protein localization for cryo-ET

Project description

Membrain-Pick

Overview

Membrain-Pick is part of the MemBrain suite of tools for processing membranes in cryo-electron tomography. MemBrain-pick's main purpose is to localize membrane-associated particles in the tomograms. To this end, MemBrain-picks takes as input already existing membrane segmentations and processes these to limit the search space for membrane-associated particles. The output of MemBrain-pick is a set of coordinates that can be used for further analysis.

Workflow

The workflow of MemBrain-pick is as follows:

  1. Input: Membrane segmentations in the form of a binary mask (.mrc). Ideally, these segmentations should depict single membrane instances.
  2. Mesh Generation: The membrane segmentations are converted into a mesh representation. At this stage, also tomogram densities are projected onto the membrane mesh.
  3. Ground Truth Generation: The membrane mesh can be loaded into surforama to manually annotate membrane-associated particles. These annotations can then be used to train a MemBrain-pick model.
  4. Training: The generated meshes, along with the annotations, are used to train a model that can predict the location of membrane-associated particles.
  5. Prediction: The trained model is used to predict the location of membrane-associated particles in the membrane segmentations.

Key Functionalities

  • Mesh Conversion: Transform membrane segmentations into a mesh representation that can easily be processed by MemBrain-pick and surforama.
  • Model training: Train a model to predict the location of membrane-associated particles.
  • Prediction: Use the trained model to predict the location of membrane-associated particles in membrane segmentations.
  • Initial orientaton assignment: Given a set of positions, MemBrain-pick can assign initial orientations to the particles by aligning them with the membrane normal. -- integration with surforama: MemBrain-pick can be used in conjunction with surforama to manually annotate membrane-associated particles.

Jump to

MemBrain-pick is part of the MemBrain v2 [1] package and still under early development. If you have any questions or suggestions, please contact us at lorenz.lamm@helmholtz-munich.de

[1] Lamm, L., Zufferey, S., Righetto, R.D., Wietrzynski, W., Yamauchi, K.A., Burt, A., Liu, Y., Zhang, H., Martinez-Sanchez, A., Ziegler, S., Isensee, F., Schnabel, J.A., Engel, B.D., and Peng, T, 2024. MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography. bioRxiv, https://doi.org/10.1101/2024.01.05.574336

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

membrain_pick-0.0.4.tar.gz (86.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

membrain_pick-0.0.4-py3-none-any.whl (98.5 kB view details)

Uploaded Python 3

File details

Details for the file membrain_pick-0.0.4.tar.gz.

File metadata

  • Download URL: membrain_pick-0.0.4.tar.gz
  • Upload date:
  • Size: 86.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.16

File hashes

Hashes for membrain_pick-0.0.4.tar.gz
Algorithm Hash digest
SHA256 2bc6d4e50d9afcba48ee1cdc31935876c44309d5525b7345f5c79e878cdb5ae5
MD5 6ddeee2ba49160a4d624742944e4ba8b
BLAKE2b-256 09ecf80c56154d50ed4f1c643891a9359a45c58692e9e996a7cf9b6444fb8b1c

See more details on using hashes here.

File details

Details for the file membrain_pick-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: membrain_pick-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 98.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.16

File hashes

Hashes for membrain_pick-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 75fa92fe6735c9cee6f86dc4a3459f05036a4b7cccb79dfef0fb8c53d930c7ef
MD5 d5781f7a572db9ab9e8094516a8ff034
BLAKE2b-256 bf2def30ac6403f0eb820dd11009d47ab9993db48174632658a5889d7f92888c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page