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A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

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IMPPY3D: Image Processing in Python for 3D Image Stacks.

Newell H Moser¹, Alexander K Landauer², Orion L Kafka¹

¹Material Measurement Laboratory, National Institute of Standards and Technology, 325 Broadway, Boulder, CO, 80305, USA.

Journal of Open Source Software

|April 11, 2025

Summary

This summary is machine-generated.

Image Processing in Python for 3D image stacks (IMPPY3D) is a free, open-source software for 3D image analysis. It simplifies post-processing and shape characterization of volumetric images, aiding research in materials science and engineering.

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Area of Science:

Scientific Computing
Image Analysis
Materials Science

Background:

3D image analysis is crucial for characterizing complex structures in various scientific fields.
Existing tools may lack comprehensive features for post-processing and shape characterization of volumetric data.
Open-source solutions are valuable for accessibility and community-driven development in scientific software.

Purpose of the Study:

To introduce Image Processing in Python for 3D image stacks (IMPPY3D), a novel FOSS repository.
To provide a versatile tool for post-processing and 3D shape characterization of grayscale image stacks.
To facilitate advanced analysis of volumetric data across diverse research applications.

Main Methods:

IMPPY3D integrates original Python scripts, Cython extensions, and wrappers for libraries like SciKit-Image, OpenCV, and PyVista.
It offers interactive parameter adjustment for image processing tasks.
Key functionalities include segmentation, 3D filtering, object labeling, precise rotation, bounding box generation, and model conversion (voxel to mesh).

Main Results:

IMPPY3D enables interactive manipulation and filtering of 2D and 3D images.
The software facilitates segmentation and characterization of 3D shapes within volumetric data.
It supports conversion of image stacks into 3D models (e.g., VTK files) and smooth mesh representations.

Conclusions:

IMPPY3D provides a powerful and flexible platform for 3D image post-processing and shape analysis.
Its capabilities are applicable to a wide range of research areas, including powder particle analysis and defect characterization in additive manufacturing.
The open-source nature of IMPPY3D promotes wider adoption and further development in scientific image analysis.