FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313247727> ?p ?o ?g. }

• W4313247727 endingPage "220105" @default.
• W4313247727 startingPage "220105" @default.
• W4313247727 abstract "Fluorescence imaging through the second near-infrared window (NIR-II,1000–1700 nm) allows in-depth imaging. However, current imaging systems use wide-field illumination and can only provide low-contrast 2D information, without depth resolution. Here, we systematically apply a light-sheet illumination, a time-gated detection, and a deep-learning algorithm to yield high-contrast high-resolution volumetric images. To achieve a large FoV (field of view) and minimize the scattering effect, we generate a light sheet as thin as 100.5 μm with a Rayleigh length of 8 mm to yield an axial resolution of 220 µm. To further suppress the background, we time-gate to only detect long lifetime luminescence achieving a high contrast of up to 0.45 <italic>Ι</italic>_contrast. To enhance the resolution, we develop an algorithm based on profile protrusions detection and a deep neural network and distinguish vasculature from a low-contrast area of 0.07 <italic>Ι</italic>_contrast to resolve the 100 μm small vessels. The system can rapidly scan a volume of view of 75 × 55 × 20 mm³ and collect 750 images within 6 mins. By adding a scattering-based modality to acquire the 3D surface profile of the mice skin, we reveal the whole volumetric vasculature network with clear depth resolution within more than 1 mm from the skin. High-contrast large-scale 3D animal imaging helps us expand a new dimension in NIR-II imaging." @default.
• W4313247727 created "2023-01-06" @default.
• W4313247727 creator A5005812727 @default.
• W4313247727 creator A5016573203 @default.
• W4313247727 creator A5018472460 @default.
• W4313247727 creator A5023010062 @default.
• W4313247727 creator A5038876168 @default.
• W4313247727 creator A5046143675 @default.
• W4313247727 creator A5062709913 @default.
• W4313247727 creator A5080105110 @default.
• W4313247727 date "2023-01-01" @default.
• W4313247727 modified "2023-10-10" @default.
• W4313247727 title "Deep learning enhanced NIR-II volumetric imaging of whole mice vasculature" @default.
• W4313247727 cites W1553198783 @default.
• W4313247727 cites W1975483190 @default.
• W4313247727 cites W1996258924 @default.
• W4313247727 cites W2009014044 @default.
• W4313247727 cites W2014942461 @default.
• W4313247727 cites W2032380361 @default.
• W4313247727 cites W2040532000 @default.
• W4313247727 cites W2046367925 @default.
• W4313247727 cites W2054048226 @default.
• W4313247727 cites W2090272372 @default.
• W4313247727 cites W2153340374 @default.
• W4313247727 cites W2278501808 @default.
• W4313247727 cites W2327941755 @default.
• W4313247727 cites W2791073568 @default.
• W4313247727 cites W2801474215 @default.
• W4313247727 cites W2909573238 @default.
• W4313247727 cites W2916688643 @default.
• W4313247727 cites W2945756399 @default.
• W4313247727 cites W2947856200 @default.
• W4313247727 cites W2995304139 @default.
• W4313247727 cites W3013944070 @default.
• W4313247727 cites W3015816482 @default.
• W4313247727 cites W3036418258 @default.
• W4313247727 cites W3048465403 @default.
• W4313247727 cites W3081250709 @default.
• W4313247727 cites W3122175919 @default.
• W4313247727 cites W3127300648 @default.
• W4313247727 cites W3135667054 @default.
• W4313247727 cites W3197318268 @default.
• W4313247727 cites W3198921063 @default.
• W4313247727 cites W4220837127 @default.
• W4313247727 doi "https://doi.org/10.29026/oea.2023.220105" @default.
• W4313247727 hasPublicationYear "2023" @default.
• W4313247727 type Work @default.
• W4313247727 citedByCount "1" @default.
• W4313247727 crossrefType "journal-article" @default.
• W4313247727 hasAuthorship W4313247727A5005812727 @default.
• W4313247727 hasAuthorship W4313247727A5016573203 @default.
• W4313247727 hasAuthorship W4313247727A5018472460 @default.
• W4313247727 hasAuthorship W4313247727A5023010062 @default.
• W4313247727 hasAuthorship W4313247727A5038876168 @default.
• W4313247727 hasAuthorship W4313247727A5046143675 @default.
• W4313247727 hasAuthorship W4313247727A5062709913 @default.
• W4313247727 hasAuthorship W4313247727A5080105110 @default.
• W4313247727 hasBestOaLocation W43132477271 @default.
• W4313247727 hasConcept C120665830 @default.
• W4313247727 hasConcept C121332964 @default.
• W4313247727 hasConcept C136229726 @default.
• W4313247727 hasConcept C138268822 @default.
• W4313247727 hasConcept C154945302 @default.
• W4313247727 hasConcept C191486275 @default.
• W4313247727 hasConcept C192562407 @default.
• W4313247727 hasConcept C205372480 @default.
• W4313247727 hasConcept C2776502983 @default.
• W4313247727 hasConcept C3019351333 @default.
• W4313247727 hasConcept C41008148 @default.
• W4313247727 hasConcept C71924100 @default.
• W4313247727 hasConceptScore W4313247727C120665830 @default.
• W4313247727 hasConceptScore W4313247727C121332964 @default.
• W4313247727 hasConceptScore W4313247727C136229726 @default.
• W4313247727 hasConceptScore W4313247727C138268822 @default.
• W4313247727 hasConceptScore W4313247727C154945302 @default.
• W4313247727 hasConceptScore W4313247727C191486275 @default.
• W4313247727 hasConceptScore W4313247727C192562407 @default.
• W4313247727 hasConceptScore W4313247727C205372480 @default.
• W4313247727 hasConceptScore W4313247727C2776502983 @default.
• W4313247727 hasConceptScore W4313247727C3019351333 @default.
• W4313247727 hasConceptScore W4313247727C41008148 @default.
• W4313247727 hasConceptScore W4313247727C71924100 @default.
• W4313247727 hasIssue "0" @default.
• W4313247727 hasLocation W43132477271 @default.
• W4313247727 hasOpenAccess W4313247727 @default.
• W4313247727 hasPrimaryLocation W43132477271 @default.
• W4313247727 hasRelatedWork W1983224196 @default.
• W4313247727 hasRelatedWork W2003431601 @default.
• W4313247727 hasRelatedWork W2004207551 @default.
• W4313247727 hasRelatedWork W2020731256 @default.
• W4313247727 hasRelatedWork W2035326386 @default.
• W4313247727 hasRelatedWork W2075916527 @default.
• W4313247727 hasRelatedWork W2077159697 @default.
• W4313247727 hasRelatedWork W2296336181 @default.
• W4313247727 hasRelatedWork W2391697839 @default.
• W4313247727 hasRelatedWork W2407857567 @default.
• W4313247727 hasVolume "0" @default.
• W4313247727 isParatext "false" @default.

• next