Git Product home page Git Product logo

ngff-writer's People

Contributors

aeisenbarth avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

ngff-writer's Issues

Best practice for storing timing info and pixel size for 5D data?

Thanks for this useful repo! I have a question about best practices.

We have data that can be tczyx ordered. We generate one zyx volume, held in an ndarray, at a time by iterating over all channels and times stored in a raw data structure created by our custom microscope on the disk. Writing and reloading this data works, so that is very helpful.

As part of the OME-zarr, we'd like to store metatdata contain the time interval between each zyx volume and the zyx pixel sizes. It isn't totally clear to us how to append this metadata at the moment. Is there a best practices on how to go about this? I briefly looked through the tests and examples and did not see this. From the example, it is clear how to name the channels and add affine transformations.

Thanks!

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.