<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13(1)</volume><submitter>Kilcullen P</submitter><pubmed_abstract>Single-pixel imaging (SPI) has emerged as a powerful technique that uses coded wide-field illumination with sampling by a single-point detector. Most SPI systems are limited by the refresh rates of digital micromirror devices (DMDs) and time-consuming iterations in compressed-sensing (CS)-based reconstruction. Recent efforts in overcoming the speed limit in SPI, such as the use of fast-moving mechanical masks, suffer from low reconfigurability and/or reduced accuracy. To address these challenges, we develop SPI accelerated via swept aggregate patterns (SPI-ASAP) that combines a DMD with laser scanning hardware to achieve pattern projection rates of up to 14.1 MHz and tunable frame sizes of up to 101×103 pixels. Meanwhile, leveraging the structural properties of S-cyclic matrices, a lightweight CS reconstruction algorithm, fully compatible with parallel computing, is developed for real-time video streaming at 100 frames per second (fps). SPI-ASAP allows reconfigurable imaging in both transmission and reflection modes, dynamic imaging under strong ambient light, and offline ultrahigh-speed imaging at speeds of up to 12,000 fps.</pubmed_abstract><journal>Nature communications</journal><pagination>7879</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9780349</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Compressed ultrahigh-speed single-pixel imaging by swept aggregate patterns.</pubmed_title><pmcid>PMC9780349</pmcid><pubmed_authors>Kilcullen P</pubmed_authors><pubmed_authors>Liang J</pubmed_authors><pubmed_authors>Ozaki T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Compressed ultrahigh-speed single-pixel imaging by swept aggregate patterns.</name><description>Single-pixel imaging (SPI) has emerged as a powerful technique that uses coded wide-field illumination with sampling by a single-point detector. Most SPI systems are limited by the refresh rates of digital micromirror devices (DMDs) and time-consuming iterations in compressed-sensing (CS)-based reconstruction. Recent efforts in overcoming the speed limit in SPI, such as the use of fast-moving mechanical masks, suffer from low reconfigurability and/or reduced accuracy. To address these challenges, we develop SPI accelerated via swept aggregate patterns (SPI-ASAP) that combines a DMD with laser scanning hardware to achieve pattern projection rates of up to 14.1 MHz and tunable frame sizes of up to 101×103 pixels. Meanwhile, leveraging the structural properties of S-cyclic matrices, a lightweight CS reconstruction algorithm, fully compatible with parallel computing, is developed for real-time video streaming at 100 frames per second (fps). SPI-ASAP allows reconfigurable imaging in both transmission and reflection modes, dynamic imaging under strong ambient light, and offline ultrahigh-speed imaging at speeds of up to 12,000 fps.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Dec</publication><modification>2025-04-21T23:25:08.593Z</modification><creation>2025-04-05T19:06:18.252Z</creation></dates><accession>S-EPMC9780349</accession><cross_references><pubmed>36550152</pubmed><doi>10.1038/s41467-022-35585-8</doi></cross_references></HashMap>