FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3199266985> ?p ?o ?g. }

• W3199266985 endingPage "127463" @default.
• W3199266985 startingPage "127463" @default.
• W3199266985 abstract "Polarization parametric indirect microscopic imaging (PIMI) can obtain anisotropic nanoscale structural information of the sample by utilizing a polarization modulated illumination scheme and fitting the far-field variation of polarization states of the scattered photons. The rich scattering information of PIMI images can be exploited for identification of viral particles, aiming for early infection screening of viruses. Accurate processing and analysis of PIMI results is an important step for obtaining structural feature information of virus. However, the systematic noise, mainly caused by the mechanical or electrical disturbance from the modulation of the illumination when taking raw images, fairly degrades the image resolution and contrast, making the analysis of results more time-consuming with higher error rate. To achieve efficient noise suppressing in the obtained PIMI images, we developed a neural network-based framework of algorithms. A fairly effective denoising method particularly for PIMI imaging was proposed based on a U-Net. From both the numerical and experimental results, the developed method significantly improves the quality of PIMI images with the best capability of noise removal compared with the traditional denoising algorithms and other neural network architecture. This method can be employed as a fixed preprocessing procedure of raw PIMI images, which is greatly helpful to realize rapid, accurate and programmed analysis of results in PIMI applications. • A denoising method suitable for PIMI system is proposed. • We discussed the effects of different denoising algorithms on PIMI images. • We built two network architectures for comparison. • Viral particle can be distinguished in PIMI images after using the proposed denoising method." @default.
• W3199266985 created "2021-09-27" @default.
• W3199266985 creator A5010881036 @default.
• W3199266985 creator A5011618258 @default.
• W3199266985 creator A5029920041 @default.
• W3199266985 creator A5030977825 @default.
• W3199266985 creator A5051862250 @default.
• W3199266985 creator A5053185573 @default.
• W3199266985 creator A5061455825 @default.
• W3199266985 creator A5068494749 @default.
• W3199266985 creator A5078606485 @default.
• W3199266985 creator A5078957171 @default.
• W3199266985 creator A5087677543 @default.
• W3199266985 date "2022-01-01" @default.
• W3199266985 modified "2023-09-23" @default.
• W3199266985 title "Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning" @default.
• W3199266985 cites W1901129140 @default.
• W3199266985 cites W1985287157 @default.
• W3199266985 cites W2021903745 @default.
• W3199266985 cites W2024944446 @default.
• W3199266985 cites W2025843385 @default.
• W3199266985 cites W2037642501 @default.
• W3199266985 cites W2048695508 @default.
• W3199266985 cites W2056370875 @default.
• W3199266985 cites W2080376276 @default.
• W3199266985 cites W2153663612 @default.
• W3199266985 cites W2160547390 @default.
• W3199266985 cites W2194775991 @default.
• W3199266985 cites W2207282238 @default.
• W3199266985 cites W2335654295 @default.
• W3199266985 cites W2394760009 @default.
• W3199266985 cites W2508457857 @default.
• W3199266985 cites W2536599074 @default.
• W3199266985 cites W2546442865 @default.
• W3199266985 cites W2580898565 @default.
• W3199266985 cites W2583850656 @default.
• W3199266985 cites W2770122546 @default.
• W3199266985 cites W2784896985 @default.
• W3199266985 cites W2798278116 @default.
• W3199266985 cites W2808498578 @default.
• W3199266985 cites W2903899730 @default.
• W3199266985 cites W2917793682 @default.
• W3199266985 cites W2964013315 @default.
• W3199266985 cites W2997926335 @default.
• W3199266985 cites W3004806486 @default.
• W3199266985 cites W3011455439 @default.
• W3199266985 cites W3035542568 @default.
• W3199266985 cites W3035992192 @default.
• W3199266985 cites W3041300721 @default.
• W3199266985 cites W3087110941 @default.
• W3199266985 cites W3093070524 @default.
• W3199266985 cites W3109968945 @default.
• W3199266985 cites W3111652941 @default.
• W3199266985 doi "https://doi.org/10.1016/j.optcom.2021.127463" @default.
• W3199266985 hasPublicationYear "2022" @default.
• W3199266985 type Work @default.
• W3199266985 sameAs 3199266985 @default.
• W3199266985 citedByCount "0" @default.
• W3199266985 crossrefType "journal-article" @default.
• W3199266985 hasAuthorship W3199266985A5010881036 @default.
• W3199266985 hasAuthorship W3199266985A5011618258 @default.
• W3199266985 hasAuthorship W3199266985A5029920041 @default.
• W3199266985 hasAuthorship W3199266985A5030977825 @default.
• W3199266985 hasAuthorship W3199266985A5051862250 @default.
• W3199266985 hasAuthorship W3199266985A5053185573 @default.
• W3199266985 hasAuthorship W3199266985A5061455825 @default.
• W3199266985 hasAuthorship W3199266985A5068494749 @default.
• W3199266985 hasAuthorship W3199266985A5078606485 @default.
• W3199266985 hasAuthorship W3199266985A5078957171 @default.
• W3199266985 hasAuthorship W3199266985A5087677543 @default.
• W3199266985 hasBestOaLocation W31992669852 @default.
• W3199266985 hasConcept C105795698 @default.
• W3199266985 hasConcept C108583219 @default.
• W3199266985 hasConcept C111368507 @default.
• W3199266985 hasConcept C117251300 @default.
• W3199266985 hasConcept C120665830 @default.
• W3199266985 hasConcept C121332964 @default.
• W3199266985 hasConcept C127313418 @default.
• W3199266985 hasConcept C154945302 @default.
• W3199266985 hasConcept C159317903 @default.
• W3199266985 hasConcept C163294075 @default.
• W3199266985 hasConcept C191486275 @default.
• W3199266985 hasConcept C199360897 @default.
• W3199266985 hasConcept C202444582 @default.
• W3199266985 hasConcept C2778517922 @default.
• W3199266985 hasConcept C2779843651 @default.
• W3199266985 hasConcept C33923547 @default.
• W3199266985 hasConcept C41008148 @default.
• W3199266985 hasConcept C9652623 @default.
• W3199266985 hasConceptScore W3199266985C105795698 @default.
• W3199266985 hasConceptScore W3199266985C108583219 @default.
• W3199266985 hasConceptScore W3199266985C111368507 @default.
• W3199266985 hasConceptScore W3199266985C117251300 @default.
• W3199266985 hasConceptScore W3199266985C120665830 @default.
• W3199266985 hasConceptScore W3199266985C121332964 @default.
• W3199266985 hasConceptScore W3199266985C127313418 @default.
• W3199266985 hasConceptScore W3199266985C154945302 @default.
• W3199266985 hasConceptScore W3199266985C159317903 @default.

• next