Fourier ptychography (FP), as a computational imaging method, is a powerful tool to improve imaging resolution. Camera-scanning Fourier ptychography extends the application of FP from micro to macro creatively. Due to the non-ideal scanning of the camera driven by the mechanical translation stage, the pose error of the camera occurs, greatly degrading the reconstruction quality, while a precise translation stage is expensive and not suitable for wide-range imaging. Here, to improve the imaging performance of camera-scanning Fourier ptychography, we propose a pose correction scheme based on camera calibration and homography transform approaches. The scheme realizes the accurate alignment of data set and location error correction in the frequency domain. Simulation and experimental results demonstrate this method can optimize the reconstruction results and realize high-quality imaging effectively. Combined with the feature recognition algorithm, the scheme provides the possibility for applying FP in remote sensing imaging and space imaging.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/OE.459908 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A novel tape-free sample preparation method for human osteochondral cryosections for high throughput hyperspectral imaging.
Histochem Cell Biol
December 2024
School of Mechanical, Medical & Process Engineering, Queensland University of Technology, 60 Musk Ave/Cnr. Blamey St, Kelvin Grove, Brisbane, QLD, 4059, Australia.
Understanding the osteochondral junction, where non-mineralised cartilage and mineralised bone converge, is crucial for joint health. Current sample preparation techniques are insufficient for detailed spatial hyperspectral imaging analysis. Using the enhanced Kawamoto method, we used the super cryo embedding medium's temperature-dependent properties to transfer high-quality tissue samples onto slides for spatial imaging analysis.
View Article and Find Full Text PDFArticle Synopsis
- Fourier ptychography (FP) is a computational imaging technique that enhances image resolution and obtains phase information by using varied angles of light, but reconstructing images can be challenging, especially with noisy or incomplete data.
- To address these challenges, a new algorithm combining anisotropic total variation and Tikhonov regularizations is proposed, improving image reconstruction quality in high-throughput scenarios.
- The method, which utilizes the alternating direction method of multipliers, has been tested against other FP algorithms and shows promising results in noise reduction and preserving key details in images collected from biological specimens, even with sparse data.
Deep neural network (DNN) models, particularly convolutional neural networks (CNNs), have demonstrated remarkable performance in biomedical image classification due to their ability to automatically learn features from large datasets. One common challenge in the preparation of large, microscopic datasets for DNN tasks is sample defocusing, potentially impairing the model performance. To handle defocusing, computational imaging, or specifically quantitative phase imaging (QPI), performs digital refocusing by using both the phase and the amplitude of the complex optical field.
View Article and Find Full Text PDFSpatially-coded Fourier ptychography: flexible and detachable coded thin films for quantitative phase imaging with uniform phase transfer characteristics.
Adv Opt Mater
May 2024
Department of Biomedical Engineering, University of Connecticut, Storrs, USA.
Article Synopsis
- Fourier ptychography (FP) is a powerful imaging technique that captures high-resolution images, but struggles to recover phase information from phase objects due to constant value captures at specific spatial frequencies.
- The challenge faced by FP and other microscopy techniques arises from the non-uniform phase transfer characteristic, which disrupts the conversion of object wavefields into measurable intensity variations.
- Introducing spatially-coded Fourier ptychography (scFP) combines FP with a coded thin film that improves phase imaging by ensuring a uniform phase response, enhancing image reconstruction, and expanding measurement diversity in the spatial domain.
Fourier Ptychographic Coherent Anti-Stokes Raman Scattering Microscopy with Point-Scanning for Super-Resolution Imaging.
Small Methods
October 2024
Optical Bioimaging Laboratory, Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore, 117576, Singapore.
Fourier ptychography (FP) is a high resolution wide-field imaging method based on the extended aperture in the Fourier space, which is synthesized from raw images with varying illumination angles. If FP is extended to coherent nonlinear optical imaging, the resolution could be further improved due to the increase of the cutoff frequency of the synthesized coherent optical transfer function (C-OTF) with respect to the order of nonlinear optical processes. However, there is a fundamental conflict between wide-field FP and nonlinear optical imaging, whereby the nonlinear optical imaging typically requires a focused excitation laser beam with high power density.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!