Search results for "Skin tissue"

showing 2 items of 2 documents

Carboxylated-xyloglucan and peptide amphiphile co-assembly in wound healing.

2021

Abstract Hydrogel wound dressings can play critical roles in wound healing protecting the wound from trauma or contamination and providing an ideal environment to support the growth of endogenous cells and promote wound closure. This work presents a self-assembling hydrogel dressing that can assist the wound repair process mimicking the hierarchical structure of skin extracellular matrix. To this aim, the co-assembly behaviour of a carboxylated variant of xyloglucan (CXG) with a peptide amphiphile (PA-H3) has been investigated to generate hierarchical constructs with tuneable molecular composition, structure, and properties. Transmission electron microscopy and circular dichroism at a low c…

Circular dichroismHYDROGELSwound healingSCAFFOLDSskin tissue engineeringBiomaterialsExtracellular matrixchemistry.chemical_compoundTissue engineeringDESIGNCIRCULAR-DICHROISM SPECTRAPeptide amphiphileABSORPTIONFORMULATIONSRELEASETEMPO-MEDIATED OXIDATIONintegumentary systemself-assemblyXyloglucanSettore ING-IND/22 - Scienza E Tecnologia Dei MaterialiPOLYSACCHARIDEchemistrypeptide nanofiberSelf-healing hydrogelsBiophysicsSettore CHIM/07 - Fondamenti Chimici Delle TecnologieSelf-assemblyAcademicSubjects/SCI01410MEMBRANEhydrogelWound healingAcademicSubjects/MED00010Hydrogel Peptide nanofiber Self-assembly Skin tissue engineering Wound healingResearch ArticleRegenerative biomaterials
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Remote Photoplethysmography Based on Implicit Living Skin Tissue Segmentation

2016

International audience; Region of interest selection is an essential part for remote photoplethysmography (rPPG) algorithms. Most of the time, face detection provided by a supervised learning of physical appearance features coupled with skin detection is used for region of interest selection. However, both methods have several limitations and we propose to implicitly select living skin tissue via their particular pulsatility feature. The input video stream is decomposed into several temporal superpixels from which pulse signals are extracted. Pulsatility measure for each temporal superpixel is then used to merge pulse traces and estimate the photoplethysmogram signal. This allows to select …

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer science[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing0206 medical engineering[INFO.INFO-IM] Computer Science [cs]/Medical Imaging02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciences010309 optics[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingSkin tissueRegion of interestPhotoplethysmogram0103 physical sciences[INFO.INFO-IM]Computer Science [cs]/Medical ImagingSegmentationComputer visionFace detection[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industrySupervised learning[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020601 biomedical engineering[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/ImagingArtificial intelligencebusiness
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