Author

B. Grandi Sgambato

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Research Focus:clustering· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Approach:deep learning· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1

Frequent Co-Authors

D. Farina· 3 shared E. Lubel· 3 shared R. Rohlen· 3 shared D. Barsakcioglu· 2 shared J. Ibanez· 2 shared M.-x. Tang· 2 shared C. Antfolk· 1 shared

Activity by Year

2023-2023 · peak 3/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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3 shared papersBioengineering

D. Farina

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioengineeringbioRxivSep 29, 2023

Accurate Identification of Motoneuron Discharges from Ultrasound Images Across the Full Muscle Cross-Section

E. Lubel, R. Rohlen, B. Grandi Sgambato…·D. Farina

This paper develops a method to accurately identify motoneuron discharges from ultrasound images across the full muscle cross-section, achieving high agreement with surface EMG decomposition.

DOI 10.1109/tbme.2023.3340019

humanimaging

𝕏 PostBluesky

BioengineeringbioRxivPreprintJun 21, 2023

Spatial decomposition of ultrafast ultrasound images to identify motor unit activity - A validation study using intramuscular and surface EMG

R. Rohlen, E. Lubel, B. Grandi Sgambato…·D. Farina

This study validates blind source separation methods on ultrafast ultrasound images to identify motor unit activity using EMG data from eleven participants.

DOI 10.1101/2023.06.21.545924

humanelectrophysiology

𝕏 PostBluesky

BioengineeringbioRxivPreprintMar 24, 2023

Non-linearity in motor unit velocity twitch dynamics: Implications for ultrafast ultrasound source separation

E. Lubel, B. Grandi Sgambato, R. Rohlen…·D. Farina

The paper investigates non-linear dynamics in motor unit velocity twitch profiles using ultrasound data, showing that linear models are insufficient for accurate decomposition.

DOI 10.1101/2023.03.24.533983

humanimaging

𝕏 PostBluesky