ArticleProceedings of the National Academy of Sciences of the United States of America2012
Compressive fluorescence microscopy for biological and hyperspectral imaging.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
- Multichannel multicentroid motion-compensated single pixel imaging of a 2D arbitrarily moving rigid-body target.Communications engineering · 2026Article
- Hadamard based single-pixel microscopy using sensor-less adaptive optics supported by multi-actuator adaptive lens.Nature communications · 2025Article
- A Comprehensive Review of Optical Metrology and Perception Technologies.Sensors (Basel, Switzerland) · 2025Review
- Integrating spatial and chemical information enhances differentiation of non-alcoholic steatohepatitis states in Raman imaging.Scientific reports · 2025Article
- Rapid axially scanned and de-scanned line-scan confocal microscopy with a tunable acoustic gradient index of refraction lens for high-speed volumetricNeurophotonics · 2025Article
- Deep compressed multichannel adaptive optics scanning light ophthalmoscope.Science advances · 2025Article
- Optogenetic Brain-Computer Interfaces.Bioengineering (Basel, Switzerland) · 2024Review
- Towards ultrafast quantitative phase imaging via differentiable microscopy [Invited].Biomedical optics express · 2024Article
- Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging.Biomedical optics express · 2023Article
- Comparison of Common Algorithms for Single-Pixel Imaging via Compressed Sensing.Sensors (Basel, Switzerland) · 2023Review
- Design and Validation of a Custom-Made Hyperspectral Microscope Imaging System for Biomedical Applications.Sensors (Basel, Switzerland) · 2023Article
- Illumination Temporal Fluctuation Suppression for Single-Pixel Imaging.Sensors (Basel, Switzerland) · 2023Article
- Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond.PLoS computational biology · 2022Article
- Retina-like Computational Ghost Imaging for an Axially Moving Target.Sensors (Basel, Switzerland) · 2022Article
- Secondary Complementary Balancing Compressive Imaging with a Free-Space Balanced Amplified Photodetector.Sensors (Basel, Switzerland) · 2022Article
- Compressed sensing in the far-field of the spatial light modulator in high noise conditions.Scientific reports · 2021Article
- Single pixel imaging at megahertz switching rates via cyclic Hadamard masks.Nature communications · 2021Article
- Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning.Nature communications · 2021Article
- Hyperspectral Three-Dimensional Fluorescence Imaging Using Snapshot Optical Tomography.Sensors (Basel, Switzerland) · 2021Article
- Single-pixel imaging of dynamic objects using multi-frame motion estimation.Scientific reports · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The mathematical theory of compressed sensing (CS) asserts that one can acquire signals from measurements whose rate is much lower than the total bandwidth. Whereas the CS theory is now well developed, challenges concerning hardware implementations of CS-based acquisition devices--especially in optics--have only started being addressed. This paper presents an implementation of compressive sensing in fluorescence microscopy and its applications to biomedical imaging. Our CS microscope combines a dynamic structured wide-field illumination and a fast and sensitive single-point fluorescence detection to enable reconstructions of images of fluorescent beads, cells, and tissues with undersampling ratios (between the number of pixels and number of measurements) up to 32. We further demonstrate a hyperspectral mode and record images with 128 spectral channels and undersampling ratios up to 64, illustrating the potential benefits of CS acquisition for higher-dimensional signals, which typically exhibits extreme redundancy. Altogether, our results emphasize the interest of CS schemes for acquisition at a significantly reduced rate and point to some remaining challenges for CS fluorescence microscopy.
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