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Multimode Fiber Imaging Based on Hydrogel Fiber
We demonstrate multimode fiber imaging based on hydrogel fibers, which are suitable for biomedical applications due to their biocompatibility and environmental friendliness. High-resolution handwritten images are successfully recovered by utilizing a Pix2Pix image generation network.
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creator | Lele, H. Cao, Mengchao Gui, Lili Guo, Jingjing Xiao, Xiaosheng |
description | We demonstrate multimode fiber imaging based on hydrogel fibers, which are suitable for biomedical applications due to their biocompatibility and environmental friendliness. High-resolution handwritten images are successfully recovered by utilizing a Pix2Pix image generation network. |
doi_str_mv | 10.1109/ICOCN63276.2024.10648561 |
format | conference_proceeding |
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High-resolution handwritten images are successfully recovered by utilizing a Pix2Pix image generation network.</description><subject>biocompatibility</subject><subject>Biological system modeling</subject><subject>deep learning</subject><subject>Fabrication</subject><subject>Hydrogel fiber</subject><subject>Hydrogels</subject><subject>Image synthesis</subject><subject>multimode fiber imaging</subject><subject>Neural networks</subject><subject>Optical fiber networks</subject><subject>Speckle</subject><issn>2771-3059</issn><isbn>9798350367652</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2024</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNqFzr0OgjAUQOGriYlEeQOHvgBw20JLV4kEBnVxJzVUUsOPaXXg7R3U2ekM33IACMWYUlRJXZyLk-BMipghS2OKIs0zQRcQKqlyniEXUmRsCQGTkkYcM7WG0Ps7InKGKeUygOT46p92mFpDSns1jtSD7uzYkb32piXTSKq5dVNn-o9vYXXTvTfhtxvYlYdLUUXWGNM8nB20m5vfC__Db-TINhM</recordid><startdate>20240726</startdate><enddate>20240726</enddate><creator>Lele, H.</creator><creator>Cao, Mengchao</creator><creator>Gui, Lili</creator><creator>Guo, Jingjing</creator><creator>Xiao, Xiaosheng</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20240726</creationdate><title>Multimode Fiber Imaging Based on Hydrogel Fiber</title><author>Lele, H. ; Cao, Mengchao ; Gui, Lili ; Guo, Jingjing ; Xiao, Xiaosheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_106485613</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2024</creationdate><topic>biocompatibility</topic><topic>Biological system modeling</topic><topic>deep learning</topic><topic>Fabrication</topic><topic>Hydrogel fiber</topic><topic>Hydrogels</topic><topic>Image synthesis</topic><topic>multimode fiber imaging</topic><topic>Neural networks</topic><topic>Optical fiber networks</topic><topic>Speckle</topic><toplevel>online_resources</toplevel><creatorcontrib>Lele, H.</creatorcontrib><creatorcontrib>Cao, Mengchao</creatorcontrib><creatorcontrib>Gui, Lili</creatorcontrib><creatorcontrib>Guo, Jingjing</creatorcontrib><creatorcontrib>Xiao, Xiaosheng</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lele, H.</au><au>Cao, Mengchao</au><au>Gui, Lili</au><au>Guo, Jingjing</au><au>Xiao, Xiaosheng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multimode Fiber Imaging Based on Hydrogel Fiber</atitle><btitle>2024 22nd International Conference on Optical Communications and Networks (ICOCN)</btitle><stitle>ICOCN</stitle><date>2024-07-26</date><risdate>2024</risdate><spage>1</spage><epage>3</epage><pages>1-3</pages><eissn>2771-3059</eissn><eisbn>9798350367652</eisbn><abstract>We demonstrate multimode fiber imaging based on hydrogel fibers, which are suitable for biomedical applications due to their biocompatibility and environmental friendliness. High-resolution handwritten images are successfully recovered by utilizing a Pix2Pix image generation network.</abstract><pub>IEEE</pub><doi>10.1109/ICOCN63276.2024.10648561</doi></addata></record> |
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ispartof | 2024 22nd International Conference on Optical Communications and Networks (ICOCN), 2024, p.1-3 |
issn | 2771-3059 |
language | eng |
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source | IEEE Xplore All Conference Series |
subjects | biocompatibility Biological system modeling deep learning Fabrication Hydrogel fiber Hydrogels Image synthesis multimode fiber imaging Neural networks Optical fiber networks Speckle |
title | Multimode Fiber Imaging Based on Hydrogel Fiber |
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