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    Design and Evaluation of a Robotic Device for Automated Tail Vein Cannulations in Rodent Models

    Source: Journal of Medical Devices:;2017:;volume( 011 ):;issue: 004::page 41008
    Author:
    Fromholtz
    ,
    Alex;Balter
    ,
    Max L.;Chen
    ,
    Alvin I.;Leipheimer
    ,
    Josh M.;Shrirao
    ,
    Anil;Maguire
    ,
    Timothy J.;Yarmush
    ,
    Martin L.
    DOI: 10.1115/1.4038011
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Preclinical testing in rodent models is a ubiquitous part of modern biomedical research and commonly involves accessing the venous bloodstream for blood sampling and drug delivery. Manual tail vein cannulation is a time-consuming process and requires significant skill and training, particularly since improperly inserted needles can affect the experimental results and study outcomes. In this paper, we present a miniaturized, robotic medical device for automated, image-guided tail vein cannulations in rodent models. The device is composed of an actuated three degrees-of-freedom (DOFs) needle manipulator, three-dimensional (3D) near-infrared (NIR) stereo cameras, and an animal holding platform. Evaluating the system through a series of workspace simulations and free-space positioning tests, the device exhibited a sufficient work volume for the needle insertion task and submillimeter accuracy over the calibration targets. The results indicate that the device is capable of cannulating tail veins in rodent models as small as 0.3 mm in diameter, the smallest diameter vein required to target.
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      Design and Evaluation of a Robotic Device for Automated Tail Vein Cannulations in Rodent Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4242822
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    • Journal of Medical Devices

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    contributor authorFromholtz
    contributor authorAlex;Balter
    contributor authorMax L.;Chen
    contributor authorAlvin I.;Leipheimer
    contributor authorJosh M.;Shrirao
    contributor authorAnil;Maguire
    contributor authorTimothy J.;Yarmush
    contributor authorMartin L.
    date accessioned2017-12-30T11:43:30Z
    date available2017-12-30T11:43:30Z
    date copyright10/16/2017 12:00:00 AM
    date issued2017
    identifier issn1932-6181
    identifier othermed_011_04_041008.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242822
    description abstractPreclinical testing in rodent models is a ubiquitous part of modern biomedical research and commonly involves accessing the venous bloodstream for blood sampling and drug delivery. Manual tail vein cannulation is a time-consuming process and requires significant skill and training, particularly since improperly inserted needles can affect the experimental results and study outcomes. In this paper, we present a miniaturized, robotic medical device for automated, image-guided tail vein cannulations in rodent models. The device is composed of an actuated three degrees-of-freedom (DOFs) needle manipulator, three-dimensional (3D) near-infrared (NIR) stereo cameras, and an animal holding platform. Evaluating the system through a series of workspace simulations and free-space positioning tests, the device exhibited a sufficient work volume for the needle insertion task and submillimeter accuracy over the calibration targets. The results indicate that the device is capable of cannulating tail veins in rodent models as small as 0.3 mm in diameter, the smallest diameter vein required to target.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDesign and Evaluation of a Robotic Device for Automated Tail Vein Cannulations in Rodent Models
    typeJournal Paper
    journal volume11
    journal issue4
    journal titleJournal of Medical Devices
    identifier doi10.1115/1.4038011
    journal fristpage41008
    journal lastpage041008-7
    treeJournal of Medical Devices:;2017:;volume( 011 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian