Curvature-adaptive gigapixel microscopy at submicron resolution and centimeter scale
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866911105097400320 |
|---|---|
| author | Yang, Xi Chen, Haitao Kreiss, Lucas Cook, Clare B. Kuczewski, Genevieve Harfouche, Mark Bohlen, Martin O. Horstmeyer, Roarke |
| author_facet | Yang, Xi Chen, Haitao Kreiss, Lucas Cook, Clare B. Kuczewski, Genevieve Harfouche, Mark Bohlen, Martin O. Horstmeyer, Roarke |
| contents | Large-area microscopy with submicron resolution is limited by tradeoffs between field of view (FOV), resolution, and imaging speed. Samples are rarely flat across centimeter-scale FOV, which often requires existing solutions to use mechanical scanning to ensure focused capture at reduced throughput. Here, we present PANORAMA, a single-shot, re-imaging microscope that achieves seamless, gigapixel imaging over a 16.3$\times$18.8 $\text{mm}^2$ FOV at 0.84 um resolution without mechanical scanning. By using a telecentric photolithography lens, a large-aperture tube lens, and a flat micro-camera array with adaptive per-camera focus control, PANORAMA maintains submicron focus across flat, curved or uneven samples that span centimeters. This approach improves imaging throughput and adaptability, enabling gigapixel multi-modal microscopy of large flat and non-flat samples in one shot, thus broadening its applications in biomedical and materials imaging. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_09697 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Curvature-adaptive gigapixel microscopy at submicron resolution and centimeter scale Yang, Xi Chen, Haitao Kreiss, Lucas Cook, Clare B. Kuczewski, Genevieve Harfouche, Mark Bohlen, Martin O. Horstmeyer, Roarke Optics Image and Video Processing Large-area microscopy with submicron resolution is limited by tradeoffs between field of view (FOV), resolution, and imaging speed. Samples are rarely flat across centimeter-scale FOV, which often requires existing solutions to use mechanical scanning to ensure focused capture at reduced throughput. Here, we present PANORAMA, a single-shot, re-imaging microscope that achieves seamless, gigapixel imaging over a 16.3$\times$18.8 $\text{mm}^2$ FOV at 0.84 um resolution without mechanical scanning. By using a telecentric photolithography lens, a large-aperture tube lens, and a flat micro-camera array with adaptive per-camera focus control, PANORAMA maintains submicron focus across flat, curved or uneven samples that span centimeters. This approach improves imaging throughput and adaptability, enabling gigapixel multi-modal microscopy of large flat and non-flat samples in one shot, thus broadening its applications in biomedical and materials imaging. |
| title | Curvature-adaptive gigapixel microscopy at submicron resolution and centimeter scale |
| topic | Optics Image and Video Processing |
| url | https://arxiv.org/abs/2507.09697 |