X-ray fluorescence (XRF) microscopy maps elemental distributions, while optical microscopy can provide complementary morphological context. Localizing XRF fields of view (FOVs) in optical images is difficult because the two modalities differ in contrast mechanism and resolution. Most current workflows place each XRF tile independently, even when acquisition metadata already record the tiles'relative scan positions. This study formalizes XRF tile-group localization, in which one optical-frame placement is estimated for the whole group, constrained by acquisition geometry and quantified using group intersection-over-union (GroupIoU). In a controlled case study, independent localization failed with GroupIoU 0.000, whereas group localization achieved 0.931. Replacing the normalized cross-correlation (NCC) metric with mutual information (MI) gave nearly identical results, showing that the outcome is not specific to one local similarity metric. In another multiscale case study, using a coarse XRF survey scan to connect the fine-scale tile group to the optical image increased mean GroupIoU from 0.694 to 0.856. These case studies support using acquisition geometry as an explicit constraint when localizing related XRF tiles.
This paper evaluates training-free vision language model (VLM) localization on two datasets representing same-section high-correspondence and adjacent-section low-correspondence imaging and tests unconstrained and metadata-constrained search and VLMs with geometric controls, classical template matching, and two alterna...
Xiang-Yu Yin, T. Paunesku, Letonia Copeland-Hardin et al.· 0 citations
A rapid, large-field bimodal imaging platform that integrates conventional brightfield microscopy with a lensless IR imaging scanner, enabling whole-slide IR image stack acquisition in minutes and suggesting that this IR-based virtual staining approach could provide a fast, chemical-free alternative for anatomic pathol...
L. Duraffourg, H. Borges, M. Fernandes et al.· Frontiers in Bioengineering...· 0 citations
Confocal microscopy, with its exceptional optical sectioning capabilities and multimodal imaging capabilities, provides critical tools for morphological observation and quantitative analysis. As a label-free technique, confocal transmission mode offers rich information on cellular 3D structures; however, its optical tr...
Ming-Yang Xu· International Conference on...· 1 citation
Gaining understanding of process-structure-property relationships in materials at a mechanistic level relies on correlative microscopy workflows. These workflows, in turn, fundamentally depend on image matching, i.e., a computer vision task with the objective of finding point correspondences in pairs of images. Mat...
A. Durmaz, James D. Lamb, Kamilla Zaripova et al.· Scientific Data· 1 citation
Direct-space and real-time coherent X-ray imaging (direct-CXI) enables visualization of magnetic-domain structures and dynamics over length scales exceeding the field of view of a single image. However, large-area measurements typically require raster scanning, producing hundreds of partially overlapping images that mu...
S. Boney, Umeshika S Dissanayaka, L. Rutowski et al.· 0 citations
This survey provides the first bi-modality review covering both laboratory and synchrotron biomedical μCT segmentation, consolidates recent segmentation methodologies, identifies major trends in deep-learning techniques, and highlights current limitations across SR-PCI-μCT.
Hao Song, Ning Zhu· npj Imaging· 0 citations
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