Data Science for Health Image Alignment: A User-Friendly Open-Source ImageJ/Fiji Plugin for Aligning Multimodality/Immunohistochemistry/Immunofluorescence 2D Microscopy Images

Most of the time, the deep analysis of a biological sample requires the acquisition of images at different time points, using different modalities and/or different stainings. This information gives morphological, functional, and physiological insights, but the acquired images must be aligned to be a...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2024-01, Vol.24 (2), p.451
Main Authors: Piccinini, Filippo, Tazzari, Marcella, Tumedei, Maria Maddalena, Stellato, Mariachiara, Remondini, Daniel, Giampieri, Enrico, Martinelli, Giovanni, Castellani, Gastone, Carbonaro, Antonella
Format: Article
Language:English
Subjects:
Cancer
correlative microscopy
Data Science
Datasets
Documentation
Fluorescent Antibody Technique
histology/histopathology
image registration
Immunohistochemistry
immunohistochemistry/immunofluorescence techniques
Microscope and microscopy
Microscopy
Microscopy, Fluorescence
Morphology
multimodal micrographs
Oncology
Open source software
Registration
User interface
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Summary:Most of the time, the deep analysis of a biological sample requires the acquisition of images at different time points, using different modalities and/or different stainings. This information gives morphological, functional, and physiological insights, but the acquired images must be aligned to be able to proceed with the co-localisation analysis. Practically speaking, according to Aristotle's principle, " ", multi-modal image registration is a challenging task that involves fusing complementary signals. In the past few years, several methods for image registration have been described in the literature, but unfortunately, there is not one method that works for all applications. In addition, there is currently no user-friendly solution for aligning images that does not require any computer skills. In this work, DS4H Image Alignment (DS4H-IA), an open-source ImageJ/Fiji plugin for aligning multimodality, immunohistochemistry (IHC), and/or immunofluorescence (IF) 2D microscopy images, designed with the goal of being extremely easy to use, is described. All of the available solutions for aligning 2D microscopy images have also been revised. The source code; standalone applications for , , and ; video tutorials; manual documentation; and sample datasets are publicly available.
ISSN:1424-8220
1424-8220
DOI:10.3390/s24020451