zenreg 0.0.1

High-throughput, memory-efficient N-dimensional image registration.

ZenReg: A high-throughput, memory-efficient N-dimensional image registration pipeline

ZenReg is a high-throughput, memory-efficient pipeline for N-dimensional image registration, designed for large microscopy and imaging datasets.

The project targets volumetric and time-resolved data with arbitrary dimensionality (3D, 4D, and full 5D stacks such as TZCYX), with a strong focus on scalable, out-of-core processing using chunked array storage and parallel execution.

ZenReg is currently under active development. This repository hosts an initial release while the core registration pipeline is being refactored, cleaned up, and prepared for open-source publication.

Scope and design goals

ZenReg is designed with the following principles in mind:

• support for true N-dimensional image data without special-casing (e.g. T=1, C=1, or Z=1)
• memory-efficient, out-of-core processing via chunked array storage
• scalable and parallel execution for high-throughput workloads
• suitability for large microscopy datasets that do not fit into memory
• clean and explicit handling of dimensional metadata

Current status

No stable public API is provided yet.

License

ZenReg is released under an open-source license (GPL-3.0). See the LICENSE file for details.