Enhancing volumetric microscopy with blind computational cor…
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- DOI 10.64898/2026.01.15.699665
- PMID https://pubmed.ncbi.nlm.nih.gov/41648204
- PMCID https://www.ncbi.nlm.nih.gov/pmc/articles/12871265
- OpenAlex ID W7124455808
- Type Preprint
- Language EN
- Published 15 Jan 2026
- Source bioRxiv (Cold Spring Harbor Laboratory)
- Publisher Cold Spring Harbor Laboratory
- Countries 1
- Institutions 1
- Added 17 Jan 2026
- Updated 30 Oct 2026
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Enhancing volumetric microscopy with blind computational correction of spatially variant aberrations using neural field representation
Preprint 2026 EN Green
Studying biological processes across multi-millimeter scales requires imaging systems that combine high spatial resolution with a large field of view (FOV). However, optical aberrations degrade image quality, particularly in large-FOV systems where distortions gradually worsen toward the periphery. Existing methods for correcting field-dependent aberrations are limited and often impractical. Hardw…
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Authors & Affiliations
5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Lê-Nguyên Hoang Corresponding | Johns Hopkins University (US) | |
| 2 | Zhongqiang Li | Johns Hopkins University (US) | |
| 3 | Dominique Meyer | Johns Hopkins University (US) | |
| 4 | Zhongqiang Li | Johns Hopkins University (US) | |
| 5 | Ji Yi | Johns Hopkins University (US) |
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