Related Experiment Video
Updated: Mar 16, 2026
11:49
Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
Published on: April 5, 2013
21.8K
Performing Quantitative Imaging Acquisition, Analysis and Visualization Using the Best of Open Source and Commercial
1Department of Anatomy & Structural Biology, Gruss Lipper Biophotonics Center, and Integrated Imaging Program, Albert Einstein College of Medicine, Bronx NY 10461, USA.
Summary
Balancing open-source and commercial software is crucial for imaging labs. Consider cost, support, reproducibility, and automation for efficient quantitative image analysis.
Area of Science:
- Scientific imaging laboratory practices
- Quantitative image analysis and visualization
Background:
- Modern imaging techniques necessitate careful software selection.
- Balancing open-source and commercial software presents a significant challenge.
Purpose of the Study:
- To outline key considerations for selecting software in imaging laboratories.
- To guide researchers in achieving a sustainable balance between open-source and commercial software solutions.
Main Methods:
- Evaluation of software licensing costs.
- Assessment of software support, training, and documentation quality.
- Analysis of software's impact on reproducibility and automation.
Main Results:
- Software choice impacts quantitative image analysis reproducibility.
- Open-source and commercial software offer distinct advantages and disadvantages.
- Automation potential varies significantly between software options.
Conclusions:
- Strategic software selection is vital for productive and reproducible imaging research.
- Consideration of total cost of ownership, including support and training, is essential.
- The balance between open-source and commercial software should be tailored to laboratory-specific needs.
