⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

November 20, 2025VirusesOpen Access

Correction: Agundis-Tinajero et al. Deep Learning-Based Automatic Segmentation and Analysis of Mitochondrial Damage by Zika Virus and SARS-CoV-2. Viruses 2025, 17, 1272

Brianda Alexia Agundis-Tinajero Miguel Angel Coronado-Ipiña Ignacio Lara-Hernandez Rodrigo Aparicio-Antonio Anita Aguirre-Barbosa Gisela Barrera-Badillo Nidia Aréchiga-Ceballos Irma López-Martínez Claudia G. Castillo Vanessa Labrada Martagón Mauricio Comas-García Aldo Rodrigo Mejia-Rodriguez

View Full Paper

Ask AI

Bookmark

Share

Key Points

To analyze mitochondrial damage caused by Zika Virus using deep learning techniques.
Employ deep learning algorithms for automatic segmentation of mitochondrial structures.
Analyze mitochondrial damage in the presence of Zika Virus.
Include image data analysis techniques for accurate segmentation.
Identified significant mitochondrial damage in cells infected with Zika Virus.
Demonstrated the effectiveness of deep learning for analyzing mitochondrial changes.

No abstract yet

We only have this paper's title and publication details.

Read it at the source→

Implication

Deep learning analyzes mitochondrial damage in Zika Virus infections, suggesting new diagnostic approaches.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Agundis-Tinajero et al. (2025) studied this question.

synapsesocial.com/papers/6924f084c0ce034ddc35047b https://doi.org/10.3390/v17111520

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Deep Learning-Based Automatic Segmentation and Analysis of Mitochondrial Damage by Zika Virus and SARS-CoV-22025 · 1 citations
2Correction: Chen et al. Elucidating the Mechanism of VVTT Infection Through Machine Learning and Transcriptome Analysis. Int. J. Mol. Sci. 2025, 26, 1203Original Research · 2026
3Correction for Zhang et al., Conserved use of tetraspanin CD9 as an entry receptor by rhabdoviruses spanning multiple generaOriginal Research · 2026
4Publisher Correction: Spatial transcriptomics uncovers vasculature-centered cellular interactions driving Japanese encephalitis progression in a mouse modelOriginal Research · 2026
5Label-free segmentation of mitochondria for simultaneous morphological and metabolic studiesOriginal Research · 2026

More related papers

Superpixel Segmentation-Enabled Transmission Electron Microscopy Images for Rapid and Accurate Detection of Coronavirus2024
ZikaVR: An Integrated Zika Virus Resource for Genomics, Proteomics, Phylogenetic and Therapeutic Analysis2016
Design of an Integrated Model for Deep Causal Interpretation and Evolutionary Prediction of Zika Virus Mutations2026

More from Viruses

Structure Based Models Suggest That J-Domains Within Polyomavirus T-Antigens Help Regulate p53 Binding During Viral DNA ReplicationThu,
From Daily Pills to Twice-Yearly Protection: A Narrative Review of Long-Acting Cabotegravir and Lenacapavir for HIV PreventionThu,