v1.3.3

What's Changed

• Add CoCo module metadata by @Zarrathustra in #49
• multi-threads in cryosieve-core, better logging by @zerinf in #50
• Update Claude multi-GPU notes by @Zarrathustra in #51
• Update CoCo CryoSieve job mapping by @Zarrathustra in #52
• Remove activation command from CoCo mapping by @mxhulab in #53
• Run nested CryoSieve tools from source modules by @Zarrathustra in #54
• Coco csrefine env bootstrap by @Zarrathustra in #55
• Run RH-factor module entrypoint by @mxhulab in #56
• automatic cryosparc client without cryosparcm env by @zerinf in #57
• ready for 1.3.3 by @zerinf in #58

Full Changelog: v1.3.2...v1.3.3

v1.3.2

What's Changed

• Dev by @zerinf in #48
• Log csrhbfactor job progress by @Zarrathustra in #47

Full Changelog: v1.3.1...v1.3.2

v1.3.1

What's Changed

• Dev logging by @zerinf in #46

Full Changelog: v1.3.0...v1.3.1

v1.3.0

Overview

CryoSieve v1.3.0 focuses on making everyday use smoother for cryo-EM practitioners. This release improves installation guidance for current CUDA environments, makes long-running jobs easier to follow, and refines downstream analysis utilities used after sieving.

What users will notice

• Easier setup on modern GPU environments, with clearer installation guidance for both CUDA 12.x and CUDA 11.8 workflows.
• More informative runtime output, so it is easier to follow progress during iterative sieving and related command-line workflows.
• Improved Rosenthal-Henderson B-factor estimation, including richer output for downstream interpretation.
• Updates to the core sieving implementation and GPU kernels to improve reliability and overall behavior.

Compatibility note

• Due to fixes in the GPU kernels and core sieving path, results from v1.3.x may differ slightly from v1.2.x, while remaining broadly consistent in practice.

Full Changelog: v1.2.8...v1.3.0

v1.2.8

A hot fix to a bug (happen when occur with --balance option) introduced in version v1.2.6.

v1.2.7

update the module cryosieve-csrefine.

Now, multiple repeats will share the same Import Particles job, and several additional arguments are implemented and allowed now, including additional local research.

v1.2.6

This release includes minor bug fixes and performance improvements to enhance the overall stability and efficiency of CryoSieve.

Version 1.2.5

1. Add two new programs: cryosieve-csrefine and cryosieve-csrhbfactor.
2. Introduce a simplified command for preparing the Conda environment.
3. Add support for CUDA >=11.8.

v1.2.4

1. Fix the bug occurring with starfile >=0.5. CryoSieve now requires starfile >=0.4, <0.5.
2. Support gloo backend for multi-GPU version of cryosieve-core.
3. Fix the bug of SequentialSampler occurring with pytorch >=2.

cryosieve 1.2.3: New Video Tutorial Now Available

We are excited to announce the release of our latest resource to help you get the most out of CryoSieve. A comprehensive video tutorial is now available, designed to guide both new and existing users through the features and functionalities of our software.

Who is it For?

• New Users: If you're new to CryoSieve, this tutorial will provide you with a solid foundation to start on.
• Seasoned Users: Even if you've been with us for a while, you'll find advanced insights that could transform the way you use our product.

Accessing the Tutorial

You can access the video tutorial directly within the repository or by clicking the link below:

Download Video Tutorial

(Please note that you may need a compatible media player to view the video tutorial.)

Feedback

We’re committed to improving your experience with CryoSieve and your input is invaluable. After you've watched the tutorial, please take a moment to share your feedback or suggestions with us. You can reach out through our support page or directly within the software via the feedback tool.

We hope this video tutorial empowers you to take full advantage of everything CryoSieve has to offer.