Image alignment demystified: Part 3 – Recommendations for successful alignment

Welcome back to our “Image Alignment Demystified” article series. In part 1, we took a deep dive into why alignment is pivotal in 2D gel electrophoresis analysis and explored its fundamental principles. Part 2 focused on the criteria and tools to help you assess alignment quality. In this chapter, we continue our journey by offering a practical roadmap with 10 recommendations and guidelines to ensure you achieve the best alignment results, thereby maximizing the reliability and precision of spot correspondences. […]

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Image alignment demystified: Part 2 – Evaluating alignment quality and identifying issues

Welcome back to our four-part series, “Image Alignment Demystified.” In our previous article, we acquainted ourselves with the foundational concepts of image alignment in the world of Melanie. Here, we’re on a deeper exploration, navigating through the intricacies of alignment quality assessment and pinpointing potential alignment issues. While current alignment algorithms generally produce very convincing results, automatic alignment results should always be critically reviewed. That’s because relatively minor mismatches can have very impactful results. Things are not different for Melanie. […]

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Image alignment demystified: Part 1 – Understanding the fundamentals

Welcome to the first part of our blog series on aligning 2D gel and blot electrophoresis images using Melanie software. Our goal is to demystify the process of image alignment and offer guidance on achieving accurate results. Throughout this series, we’ll focus on key takeaways instead of providing detailed descriptions of software steps and features, which can be found in the Expression Analysis and Coverage Analysis user guides. In this opening article, we’ll look at the core concepts and principles […]

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