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Bioinformatics AdvancesBioinformaticsPeer-reviewed journal article

Integrative Co-Registration of Elemental Imag-ing and Histopathology for Enhanced Spatial Multimodal Analysis of Tissue Sections through TRACE

Yunrui LuiD, Serin Han, Aruesha SrivastavaiD, Neha Shaik, Matthew ChaniD, Alos DialloiD, Naina KumariD, Nishita Paruchuri, Hrishikesh Deosthali, Vismay Ravikumar, Kevin Cornell, Elijah W. StommeliD, Tracy PunshoniD, Brian P. JacksoniD, Fred KollingiD, Linda T. VahdatiD, Louis Joseph VaickusiD, Jonathan D. MarottiiD, Sunita P. HoiD, Joshua LevyiD

PDFDOIPreprint

Abstract

SummaryElemental imaging provides detailed profiling of metal bioaccumulation, offering more precision than bulk analysis by targeting specific tissue areas. However, accurately identifying comparable tissue regions from elemental maps is challenging, requiring the integration of hematoxylin and eosin (H&E) slides for effective comparison. Facilitating the streamlined co-registration of Whole Slide Images (WSI) and elemental maps, TRACE enhances the analysis of tissue regions and elemental abundance in various pathological conditions. Through an interactive containerized web application, TRACE features real-time annotation editing, advanced statistical tools, and data export, supporting comprehensive spatial analysis. Notably, it allows for comparison of elemental abundances across annotated tissue structures and enables integration with other spatial data types through WSI co-registration. Availability and ImplementationAvailable on the following platforms- GitHub: jlevy44/trace_app, PyPI: trace_app, Docker: joshualevy44/trace_app, Singularity: joshualevy44/trace_app. Contactjoshua.levy@cshs.org Supplementary informationSupplementary data are available.

Citations
3
FWCI
0.58
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top 37%

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