Automated assessment of human engineered heart tissues using deep learning and template matching for segmentation and tracking.

Journal Information

Full Title: Bioeng Transl Med

Abbreviation: Bioeng Transl Med

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Engineering, Biomedical

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
5/6
83.3% Transparent
Transparency Indicators
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Core Indicators
Evidence found in paper:

"data availability statement the data that supports the findings of this study are available in the supplementary material of this article and in the link www github com/dkeekstra/sptemplatematching ."

Evidence found in paper:

"data availability statement the data that supports the findings of this study are available in the supplementary material of this article and in the link www github com/dkeekstra/sptemplatematching . data availability statement the data that supports the findings of this study are available in the supplementary material of this article and in the link www github com/dkeekstra/sptemplatematching ."

Evidence found in paper:

"CONFLICT OF INTEREST STATEMENT R.P. is a cofounder of Pluriomics (Ncardia) and River BioMedics BV. M.C.R. is a cofounder of River BioMedics BV. A.v.d.B. is a scientific advisor of River BioMedics BV. The other authors report no conflicts."

Evidence found in paper:

"FUNDING INFORMATION This work was supported by the Netherlands Organ‐on‐Chip Initiative, an NWO Gravitation project (024.003.001) funded by the Ministry of Education, Culture and Science of the government of the Netherlands, TOP‐ZonMw grant (ZonMw, TOP‐00812‐98‐17061)."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025