Author

Rafael Vescovi

Argonne National LaboratoryORCID 0000-0002-0652-1128Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Assay:imaging· 2 Research Focus:database / resource· 1 Organism:mouse· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Ming DuiD· 2 shared Narayanan KasthuriiD· 2 shared A. JoachimiakiD· 1 shared Aishwarya BalwaniiD· 1 shared Alex LavensiD· 1 shared Ali ShahbaziiD· 1 shared Changsoo ChangiD· 1 shared Chase AkinsiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersNeuroscience

Ming DuORCID

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Author profile →

3 papers

Recent·Most cited

New system for serial crystallography data collection at SBC APS

Darren A. Sherrell, Alex Lavens, Mateusz Wilamowski, Youngchang Kim, Ryan Chard, Krzysztof Lazarski, G. Rosenbaum, Rafael Vescovi, Jessica L. Johnson, Chase Akins, Changsoo Chang, K. Michalska, G. Babnigg, Ian T Foster, A. Joachimiak

The paper describes a new system for serial crystallography data collection using a 3D printed mesh-holder and high-performance computing pipeline, applied to two beta-lactamases.

Journal of Synchrotron Radiation · Aug 17, 2022Peer-reviewedMolecular Biology

A three-dimensional thalamocortical dataset for characterizing brain heterogeneity

Judy A. Prasad, Aishwarya Balwani, Erik C. Johnson, Joseph Miano, Vandana Sampathkumar, Vincent De Andrade, Kamel Fezzaa, Ming Du, Rafael Vescovi, Chris J. Jacobsen, Konrad Paul Kording, Doğa Gürsoy, William Gray Roncal, Narayanan Kasthuri, Eva L. Dyer

The paper provides a three-dimensional X-ray microtomography dataset of thalamocortical structures to study neural heterogeneity.

Scientific Data · Oct 20, 2020Peer-reviewedNeuroscience

Flexible Learning-Free Segmentation and Reconstruction for Sparse Neuronal Circuit Tracing

Ali Shahbazi, Jeffery Kinnison, Rafael Vescovi, Ming Du, Robert Hill, Maximilian Joesch, Marc M. Takeno, Hongkui Zeng, Nuno Maçarico da Costa, Jaime Grutzendler, Narayanan Kasthuri, Walter J. Scheirer

This paper introduces a fast, learning-free method for sparse segmentation and reconstruction of neural volumes, demonstrating high-quality results across multiple imaging modalities.

bioRxiv · Jul 6, 2018 · PreprintNeuroscience