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Related Publications
Journal articles
Sci. Rep.
Fluorescence microscopy tensor imaging representations for large-scale dataset analysis
Vinegoni#†, C.,
Feruglio†, P. F.,
Courties, G.,
Schmidt, S.,
Hulsmans, M.,
Lee, S.,
Wang, R.,
Sosnovik, D.,
Nahrendorf, M.,
and Weissleder, R.
Understanding complex biological systems requires the system-wide characterization of cellular and molecular features. Recent advances in optical imaging technologies and chemical tissue clearing have facilitated the acquisition of whole-organ imaging datasets, but automated tools for their quantitative analysis and visualization are still lacking. We have here developed a visualization technique capable of providing whole-organ tensor imaging representations of local regional descriptors based on fluorescence data acquisition. This method enables rapid, multiscale, analysis and virtualization of large-volume, high-resolution complex biological data while generating 3D tractographic representations. Using the murine heart as a model, our method allowed us to analyze and interrogate the cardiac microvasculature and the tissue resident macrophage distribution and better infer and delineate the underlying structural network in unprecedented detail.
@article{2020-SCIREP,author={Vinegoni<sup>#†</sup>, C. and Feruglio<sup>†</sup>, P. F. and Courties, G. and Schmidt, S. and Hulsmans, M. and Lee, S. and Wang, R. and Sosnovik, D. and Nahrendorf, M. and Weissleder, R.},title={Fluorescence microscopy tensor imaging representations for large-scale dataset analysis},journal={Scientific Reports},alternatejournal={Sci. Rep.},year={2020},volume={10},number={1},pages={15},issn={2045-2322},doi={10.1038/s41598-020-62233-2},pmcid={PMC7101442},pmid={32221334}}
32221334
PMC7101442
10.1038/s41598-020-62233-2
PLoS One
Mapping Molecular Agents Distributions in Whole Mice Hearts Using Born-Normalized Optical Projection Tomography
Vinegoni#†, C.,
Fumene Feruglio†, P.,
Razansky, D.,
Gorbatov, R.,
Ntziachristos, V.,
Sbarbati, A.,
Nahrendorf, M.,
and Weissleder, R.
To date there is a lack of tools to map the spatio-temporal dynamics of diverse cells in experimental heart models. Conventional histology is labor intensive with limited coverage, whereas many imaging techniques do not have sufficiently high enough spatial resolution to map cell distributions. We have designed and built a high resolution, dual channel Born-normalized near-infrared fluorescence optical projection tomography system to quantitatively and spatially resolve molecular agents distribution within whole murine heart. We validated the use of the system in a mouse model of monocytes/macrophages recruitment during myocardial infarction. While acquired, data were processed and reconstructed in real time. Tomographic analysis and visualization of the key inflammatory components were obtained via a mathematical formalism based on left ventricular modeling. We observed extensive monocyte recruitment within and around the infarcted areas and discovered that monocytes were also extensively recruited into non-ischemic myocardium, beyond that of injured tissue, such as the septum.
@article{2012-PLOSONE,author={Vinegoni<sup>#†</sup>, C. and Fumene Feruglio<sup>†</sup>, P. and Razansky, D. and Gorbatov, R. and Ntziachristos, V. and Sbarbati, A. and Nahrendorf, M. and Weissleder, R.},title={Mapping Molecular Agents Distributions in Whole Mice Hearts Using Born-Normalized Optical Projection Tomography},journal={Plos One},alternatejournal={PLoS One},year={2012},volume={7},number={4},pages={9},issn={1932-6203},doi={10.1371/journal.pone.0034427},pmcid={PMC3324534},pmid={22509302}}
22509302
PMC3324534
10.1371/journal.pone.0034427
Opt. Express
High throughput transmission optical projection tomography using low cost graphics processing unit
Vinegoni#, C.,
Fexon, L.,
Fumene Feruglio, P.,
Pivovarov, M.,
Figueiredo, J. L.,
Nahrendorf, M.,
Pozzo, A.,
Sbarbati, A.,
and Weissleder, R.
We implement the use of a graphics processing unit (GPU) in order to achieve real time data processing for high-throughput transmission optical projection tomography imaging. By implementing the GPU we have obtained a 300 fold performance enhancement in comparison to a CPU workstation implementation. This enables to obtain on-the-fly reconstructions enabling for high throughput imaging. (C) 2009 Optical Society of America
@article{2009-OE-1,author={Vinegoni<sup>#</sup>, C. and Fexon, L. and Fumene Feruglio, P. and Pivovarov, M. and Figueiredo, J. L. and Nahrendorf, M. and Pozzo, A. and Sbarbati, A. and Weissleder, R.},title={High throughput transmission optical projection tomography using low cost graphics processing unit},journal={Optics Express},alternatejournal={Opt. Express},year={2009},volume={17},number={25},pages={22320-22332},issn={1094-4087},doi={10.1364/oe.17.022320},pmcid={PMC2805020},pmid={20052155}}