{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11(37)"],"submitter":["Tian F"],"pubmed_abstract":["Mask-based integrated fluorescence microscopy is a compact imaging technique for biomedical research. It can perform snapshot 3D imaging through a thin optical mask with a scalable field of view (FOV). Integrated microscopy uses computational algorithms for object reconstruction, but efficient reconstruction algorithms for large-scale data have been lacking. Here, we developed DeepInMiniscope, a miniaturized integrated microscope featuring a custom-designed optical mask and an efficient physics-informed deep learning model that markedly reduces computational demand. Parts of the 3D object can be individually reconstructed and combined. Our deep learning algorithm can reconstruct object volumes over 4 millimeters by 6 millimeters by 0.6 millimeters. We demonstrated substantial improvement in both reconstruction quality and speed compared to traditional methods for large-scale data. Notably, we imaged neuronal activity with near-cellular resolution in awake mouse cortex, representing a substantial leap over existing integrated microscopes. DeepInMiniscope holds great promise for scalable, large-FOV, high-speed, 3D imaging applications with compact device footprint."],"journal":["Science advances"],"pagination":["eadr6687"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12429034"],"repository":["biostudies-literature"],"pubmed_title":["DeepInMiniscope: Deep learning-powered physics-informed integrated miniscope."],"pmcid":["PMC12429034"],"pubmed_authors":["Yang W","Tian F","Mattison B"],"additional_accession":[]},"is_claimable":false,"name":"DeepInMiniscope: Deep learning-powered physics-informed integrated miniscope.","description":"Mask-based integrated fluorescence microscopy is a compact imaging technique for biomedical research. It can perform snapshot 3D imaging through a thin optical mask with a scalable field of view (FOV). Integrated microscopy uses computational algorithms for object reconstruction, but efficient reconstruction algorithms for large-scale data have been lacking. Here, we developed DeepInMiniscope, a miniaturized integrated microscope featuring a custom-designed optical mask and an efficient physics-informed deep learning model that markedly reduces computational demand. Parts of the 3D object can be individually reconstructed and combined. Our deep learning algorithm can reconstruct object volumes over 4 millimeters by 6 millimeters by 0.6 millimeters. We demonstrated substantial improvement in both reconstruction quality and speed compared to traditional methods for large-scale data. Notably, we imaged neuronal activity with near-cellular resolution in awake mouse cortex, representing a substantial leap over existing integrated microscopes. DeepInMiniscope holds great promise for scalable, large-FOV, high-speed, 3D imaging applications with compact device footprint.","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Sep","modification":"2026-04-08T19:53:09.367Z","creation":"2026-04-08T14:35:59.506Z"},"accession":"S-EPMC12429034","cross_references":{"pubmed":["40938981"],"doi":["10.1126/sciadv.adr6687"]}}