ArticleOptics express2020
Real-time and high-throughput Raman signal extraction and processing in CARS hyperspectral imaging.
Article in Optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Broadband Coherent Raman Scattering: Excitation Architectures and Operating Regimes.Molecules (Basel, Switzerland) · 2026Review
- Advancing Label-Free Imaging Through CARS Microscopy: From Signal Formation to Biological Interpretation.International journal of molecular sciences · 2026Review
- Molecular Fingerprinting of Mouse Brain Using Ultrabroadband Coherent Anti-Stokes Raman Scattering (CARS) Microspectroscopy Empowered by Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS).Chemical & biomedical imaging · 2024Article
- Full-Spectrum CARS Microscopy of Cells and Tissues with Ultrashort White-Light Continuum Pulses.The journal of physical chemistry. B · 2023Article
- 3D Orientation Imaging of Polymer Chains with Polarization-Controlled Coherent Raman Microscopy.Journal of the American Chemical Society · 2022Article
- Effect of non-resonant background on the extraction of Raman signals from CARS spectra using deep neural networks.RSC advances · 2022Article
- Differential Uptake of Antisense Oligonucleotides in Mouse Hepatocytes and Macrophages Revealed by Simultaneous Two-Photon Excited Fluorescence and Coherent Raman Imaging.Nucleic acid therapeutics · 2022Article
- Coherent anti-Stokes Raman scattering cell imaging and segmentation with unsupervised data analysis.Frontiers in cell and developmental biology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We present a new collection of processing techniques, collectively "factorized Kramers-Kronig and error correction" (fKK-EC), for (a) Raman signal extraction, (b) denoising, and (c) phase- and scale-error correction in coherent anti-Stokes Raman scattering (CARS) hyperspectral imaging and spectroscopy. These new methods are orders-of-magnitude faster than conventional methods and are capable of real-time performance, owing to the unique core concept: performing all processing on a small basis vector set and using matrix/vector multiplication afterwards for direct and fast transformation of the entire dataset. Experimentally, we demonstrate that a 703026 spectra image of chicken cartilage can be processed in 70 s (≈ 0.1 ms / spectrum), which is ≈ 70 times faster than with the conventional workflow (≈7.0 ms / spectrum). Additionally, we discuss how this method may be used for machine learning (ML) by re-using the transformed basis vector sets with new data. Using this ML paradigm, the same tissue image was processed (post-training) in ≈ 33 s, which is a speed-up of ≈ 150 times when compared with the conventional workflow.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.