ArticleMedical image analysis2014
Multi-modal registration for correlative microscopy using image analogies.
Article in Medical image analysis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 45 citations in OpenAlex.
- Crossing scales and eras: Correlative multimodal microscopy heritage studies.Journal of microscopy · 2026Article
- CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.Nature methods · 2025Article
- Correlative Imaging to Detect Rare HIV Reservoirs and Associated Damage in Tissues.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Unpaired Deep Cross-Modality Synthesis with Fast Training.Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, held in conjunction with MICCAI 2018, Granada, Spain, S... · 2018Article
- Article
- Brain lesion segmentation through image synthesis and outlier detection.NeuroImage. Clinical · 2017Article
- Registration of Pathological Images.Simulation and synthesis in medical imaging : ... International Workshop, SASHIMI ..., held in conjunction with MICCAI ..., proceedings. SASHIMI (Workshop) · 2016Article
- Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation.IEEE journal of biomedical and health informatics · 2015Article
- Multi-modal registration for correlative microscopy using image analogies.Medical image analysis · 2014Article
- MR to CT Registration of Brains using Image Synthesis.Proceedings of SPIE--the International Society for Optical Engineering · 2014Article
- Subject Specific Sparse Dictionary Learning for Atlas based Brain MRI Segmentation.Machine learning in medical imaging. MLMI (Workshop) · 2014Article
- Robust multimodal dictionary learning.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2013Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Correlative microscopy is a methodology combining the functionality of light microscopy with the high resolution of electron microscopy and other microscopy technologies for the same biological specimen. In this paper, we propose an image registration method for correlative microscopy, which is challenging due to the distinct appearance of biological structures when imaged with different modalities. Our method is based on image analogies and allows to transform images of a given modality into the appearance-space of another modality. Hence, the registration between two different types of microscopy images can be transformed to a mono-modality image registration. We use a sparse representation model to obtain image analogies. The method makes use of corresponding image training patches of two different imaging modalities to learn a dictionary capturing appearance relations. We test our approach on backscattered electron (BSE) scanning electron microscopy (SEM)/confocal and transmission electron microscopy (TEM)/confocal images. We perform rigid, affine, and deformable registration via B-splines and show improvements over direct registration using both mutual information and sum of squared differences similarity measures to account for differences in image appearance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.