FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2889672357> ?p ?o ?g. }

• W2889672357 abstract "We report a deep learning-enabled field-portable and cost-effective imaging flow cytometer that automatically captures phase-contrast color images of the contents of a continuously flowing water sample at a throughput of 100 mL/h. The device is based on partially coherent lens-free holographic microscopy and acquires the diffraction patterns of flowing micro-objects inside a microfluidic channel. These holographic diffraction patterns are reconstructed in real time using a deep learning-based phase-recovery and image-reconstruction method to produce a color image of each micro-object without the use of external labeling. Motion blur is eliminated by simultaneously illuminating the sample with red, green, and blue light-emitting diodes that are pulsed. Operated by a laptop computer, this portable device measures 15.5 cm × 15 cm × 12.5 cm, weighs 1 kg, and compared to standard imaging flow cytometers, it provides extreme reductions of cost, size and weight while also providing a high volumetric throughput over a large object size range. We demonstrated the capabilities of this device by measuring ocean samples at the Los Angeles coastline and obtaining images of its micro- and nanoplankton composition. Furthermore, we measured the concentration of a potentially toxic alga (Pseudo-nitzschia) in six public beaches in Los Angeles and achieved good agreement with measurements conducted by the California Department of Public Health. The cost-effectiveness, compactness, and simplicity of this computational platform might lead to the creation of a network of imaging flow cytometers for large-scale and continuous monitoring of the ocean microbiome, including its plankton composition." @default.
• W2889672357 created "2018-09-27" @default.
• W2889672357 creator A5001045254 @default.
• W2889672357 creator A5013411510 @default.
• W2889672357 creator A5016622544 @default.
• W2889672357 creator A5022751168 @default.
• W2889672357 creator A5023108122 @default.
• W2889672357 creator A5025113568 @default.
• W2889672357 creator A5033528206 @default.
• W2889672357 creator A5058629781 @default.
• W2889672357 creator A5072827553 @default.
• W2889672357 creator A5077951659 @default.
• W2889672357 creator A5089055123 @default.
• W2889672357 date "2018-09-19" @default.
• W2889672357 modified "2023-10-17" @default.
• W2889672357 title "A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples" @default.
• W2889672357 cites W1569166732 @default.
• W2889672357 cites W1600267085 @default.
• W2889672357 cites W1604680558 @default.
• W2889672357 cites W1967479561 @default.
• W2889672357 cites W1995716826 @default.
• W2889672357 cites W2000446935 @default.
• W2889672357 cites W2006948821 @default.
• W2889672357 cites W2016691315 @default.
• W2889672357 cites W2022072902 @default.
• W2889672357 cites W2024431555 @default.
• W2889672357 cites W2024617956 @default.
• W2889672357 cites W2026160954 @default.
• W2889672357 cites W2029771770 @default.
• W2889672357 cites W2051401871 @default.
• W2889672357 cites W2058199493 @default.
• W2889672357 cites W2061360861 @default.
• W2889672357 cites W2066911752 @default.
• W2889672357 cites W2068179729 @default.
• W2889672357 cites W2075772814 @default.
• W2889672357 cites W2094595958 @default.
• W2889672357 cites W2103577354 @default.
• W2889672357 cites W2107535961 @default.
• W2889672357 cites W2109503531 @default.
• W2889672357 cites W2114235479 @default.
• W2889672357 cites W2115673114 @default.
• W2889672357 cites W2139455631 @default.
• W2889672357 cites W2143858686 @default.
• W2889672357 cites W2147217638 @default.
• W2889672357 cites W2154068313 @default.
• W2889672357 cites W2158587964 @default.
• W2889672357 cites W2160955376 @default.
• W2889672357 cites W2167705142 @default.
• W2889672357 cites W2296024008 @default.
• W2889672357 cites W2315813075 @default.
• W2889672357 cites W2323329867 @default.
• W2889672357 cites W2396406511 @default.
• W2889672357 cites W2496642239 @default.
• W2889672357 cites W2553382436 @default.
• W2889672357 cites W2586747425 @default.
• W2889672357 cites W2607720425 @default.
• W2889672357 cites W2612688942 @default.
• W2889672357 cites W2754439602 @default.
• W2889672357 cites W2760619301 @default.
• W2889672357 cites W2766834242 @default.
• W2889672357 cites W2771050955 @default.
• W2889672357 cites W2918342120 @default.
• W2889672357 doi "https://doi.org/10.1038/s41377-018-0067-0" @default.
• W2889672357 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6143550" @default.
• W2889672357 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30245813" @default.
• W2889672357 hasPublicationYear "2018" @default.
• W2889672357 type Work @default.
• W2889672357 sameAs 2889672357 @default.
• W2889672357 citedByCount "117" @default.
• W2889672357 countsByYear W28896723572018 @default.
• W2889672357 countsByYear W28896723572019 @default.
• W2889672357 countsByYear W28896723572020 @default.
• W2889672357 countsByYear W28896723572021 @default.
• W2889672357 countsByYear W28896723572022 @default.
• W2889672357 countsByYear W28896723572023 @default.
• W2889672357 crossrefType "journal-article" @default.
• W2889672357 hasAuthorship W2889672357A5001045254 @default.
• W2889672357 hasAuthorship W2889672357A5013411510 @default.
• W2889672357 hasAuthorship W2889672357A5016622544 @default.
• W2889672357 hasAuthorship W2889672357A5022751168 @default.
• W2889672357 hasAuthorship W2889672357A5023108122 @default.
• W2889672357 hasAuthorship W2889672357A5025113568 @default.
• W2889672357 hasAuthorship W2889672357A5033528206 @default.
• W2889672357 hasAuthorship W2889672357A5058629781 @default.
• W2889672357 hasAuthorship W2889672357A5072827553 @default.
• W2889672357 hasAuthorship W2889672357A5077951659 @default.
• W2889672357 hasAuthorship W2889672357A5089055123 @default.
• W2889672357 hasBestOaLocation W28896723571 @default.
• W2889672357 hasConcept C111919701 @default.
• W2889672357 hasConcept C120665830 @default.
• W2889672357 hasConcept C121332964 @default.
• W2889672357 hasConcept C154945302 @default.
• W2889672357 hasConcept C157764524 @default.
• W2889672357 hasConcept C171250308 @default.
• W2889672357 hasConcept C187590223 @default.
• W2889672357 hasConcept C192562407 @default.
• W2889672357 hasConcept C198531522 @default.
• W2889672357 hasConcept C2780008327 @default.
• W2889672357 hasConcept C41008148 @default.
• W2889672357 hasConcept C555944384 @default.

• next