HapticV1, PascalFrancis, Corpus, bibRecord, 000B15

Evaluating the effect of force feedback in cell injection

Identifieur interne : 000B15 ( PascalFrancis/Corpus ); précédent : 000B14; suivant : 000B16

Evaluating the effect of force feedback in cell injection

Auteurs : Anand Pillarisetti ; Maxim Pekarev ; Ari D. Brooks ; Jaydev P. Desai

Source :

IEEE transactions on automation science and engineering [ 1545-5955 ] ; 2007.

RBID : Pascal:07-0415782

Descripteurs français

Pascal (Inist)
- Commande force, Temps réel, Homme, Asservissement visuel, Robotique, Méthode biologique, Biologie moléculaire, Mesure force, Interface utilisateur, Facteur humain, Génétique, Echelle grande, Analyse fonctionnelle.

English descriptors

KwdEn :
- Biological method, Force control, Force measurement, Functional analysis, Genetics, Human, Human factor, Large scale, Molecular biology, Real time, Robotics, User interface, Visual servoing.

Abstract

Conventional methods of manipulating individual biological cells have been prevalent in the field of molecular biology. These methods do not have the ability to provide force feedback to an operator. Poor control of cell injection force is one of the primary reasons for low success rates in cell injection and transgenesis in particular. Therefore, there exists a need to incorporate force feedback into a cell injection system. We have developed a force feedback interface, which has the capability of measuring forces in the range of μN and provide a haptic display of the cell injection forces in real time. Using this force feedback interface, we performed several human factors studies to evaluate the effect of force feedback on cell injection outcomes. We tested our system with 40 human subjects and our experimental results indicate that the subjects were able to feel the cell injection force and confirmed our research hypothesis that the use of combined vision and force feedback leads to a higher success rate in cell injection task compared to using vision feedback alone. Note to Practitioners-Although transgenic organisms have been produced for the last 20 years, their full potential has not yet been realized. The power of the transgenic animal as a research tool lies in our ability to understand the functional consequences of gene expression or deletion during development. Producing organisms for these experiments is currently quite labor intensive and is inefficient for the reliable production of large numbers of transgenic organisms. Now that the genome is sequenced there is a pressing need to understand the functions of thousands of newly identified genes. Just as high throughput technology has revolutionized the human genome project, large-scale functional analysis can benefit from the use of automation and array technology. As a result the goal of this research is to understand the effect of force feedback in cell injection tasks and thereby use the results to improve the interface used by technicians to improve the outcome of biomanipulation tasks, particularly those leading to transgenesis.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A11	`04`	`1`		`@1 DESAI (Jaydev P.)`
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Format Inist (serveur)

NO :	PASCAL 07-0415782 INIST
ET :	Evaluating the effect of force feedback in cell injection
AU :	PILLARISETTI (Anand); PEKAREV (Maxim); BROOKS (Ari D.); DESAI (Jaydev P.)
AF :	Department of Mechanical Engineering, University of Maryland/College Park, MD 20742/Etats-Unis (1 aut., 4 aut.); Department of Surgery, Drexel University College of Medicine/Philadelphia, PA 19102/Etats-Unis (2 aut., 3 aut.)
DT :	Publication en série; Niveau analytique
SO :	IEEE transactions on automation science and engineering ; ISSN 1545-5955; Etats-Unis; Da. 2007; Vol. 4; No. 3; Pp. 322-331; Bibl. 29 ref.
LA :	Anglais
EA :	Conventional methods of manipulating individual biological cells have been prevalent in the field of molecular biology. These methods do not have the ability to provide force feedback to an operator. Poor control of cell injection force is one of the primary reasons for low success rates in cell injection and transgenesis in particular. Therefore, there exists a need to incorporate force feedback into a cell injection system. We have developed a force feedback interface, which has the capability of measuring forces in the range of μN and provide a haptic display of the cell injection forces in real time. Using this force feedback interface, we performed several human factors studies to evaluate the effect of force feedback on cell injection outcomes. We tested our system with 40 human subjects and our experimental results indicate that the subjects were able to feel the cell injection force and confirmed our research hypothesis that the use of combined vision and force feedback leads to a higher success rate in cell injection task compared to using vision feedback alone. Note to Practitioners-Although transgenic organisms have been produced for the last 20 years, their full potential has not yet been realized. The power of the transgenic animal as a research tool lies in our ability to understand the functional consequences of gene expression or deletion during development. Producing organisms for these experiments is currently quite labor intensive and is inefficient for the reliable production of large numbers of transgenic organisms. Now that the genome is sequenced there is a pressing need to understand the functions of thousands of newly identified genes. Just as high throughput technology has revolutionized the human genome project, large-scale functional analysis can benefit from the use of automation and array technology. As a result the goal of this research is to understand the effect of force feedback in cell injection tasks and thereby use the results to improve the interface used by technicians to improve the outcome of biomanipulation tasks, particularly those leading to transgenesis.
CC :	001D02D11
FD :	Commande force; Temps réel; Homme; Asservissement visuel; Robotique; Méthode biologique; Biologie moléculaire; Mesure force; Interface utilisateur; Facteur humain; Génétique; Echelle grande; Analyse fonctionnelle
ED :	Force control; Real time; Human; Visual servoing; Robotics; Biological method; Molecular biology; Force measurement; User interface; Human factor; Genetics; Large scale; Functional analysis
SD :	Control fuerza; Tiempo real; Hombre; Servomando visual; Robótica; Método biológico; Biología molecular; Medición esfuerzo; Interfase usuario; Factor humano; Genética; Escala grande; Análisis funcional
LO :	INIST-21023B.354000161482990020
ID :	07-0415782

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Pascal:07-0415782

Le document en format XML

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<front><div type="abstract" xml:lang="en">Conventional methods of manipulating individual biological cells have been prevalent in the field of molecular biology. These methods do not have the ability to provide force feedback to an operator. Poor control of cell injection force is one of the primary reasons for low success rates in cell injection and transgenesis in particular. Therefore, there exists a need to incorporate force feedback into a cell injection system. We have developed a force feedback interface, which has the capability of measuring forces in the range of μN and provide a haptic display of the cell injection forces in real time. Using this force feedback interface, we performed several human factors studies to evaluate the effect of force feedback on cell injection outcomes. We tested our system with 40 human subjects and our experimental results indicate that the subjects were able to feel the cell injection force and confirmed our research hypothesis that the use of combined vision and force feedback leads to a higher success rate in cell injection task compared to using vision feedback alone. Note to Practitioners-Although transgenic organisms have been produced for the last 20 years, their full potential has not yet been realized. The power of the transgenic animal as a research tool lies in our ability to understand the functional consequences of gene expression or deletion during development. Producing organisms for these experiments is currently quite labor intensive and is inefficient for the reliable production of large numbers of transgenic organisms. Now that the genome is sequenced there is a pressing need to understand the functions of thousands of newly identified genes. Just as high throughput technology has revolutionized the human genome project, large-scale functional analysis can benefit from the use of automation and array technology. As a result the goal of this research is to understand the effect of force feedback in cell injection tasks and thereby use the results to improve the interface used by technicians to improve the outcome of biomanipulation tasks, particularly those leading to transgenesis.</div>
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<server><NO>PASCAL 07-0415782 INIST</NO>
<ET>Evaluating the effect of force feedback in cell injection</ET>
<AU>PILLARISETTI (Anand); PEKAREV (Maxim); BROOKS (Ari D.); DESAI (Jaydev P.)</AU>
<AF>Department of Mechanical Engineering, University of Maryland/College Park, MD 20742/Etats-Unis (1 aut., 4 aut.); Department of Surgery, Drexel University College of Medicine/Philadelphia, PA 19102/Etats-Unis (2 aut., 3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>IEEE transactions on automation science and engineering ; ISSN 1545-5955; Etats-Unis; Da. 2007; Vol. 4; No. 3; Pp. 322-331; Bibl. 29 ref.</SO>
<LA>Anglais</LA>
<EA>Conventional methods of manipulating individual biological cells have been prevalent in the field of molecular biology. These methods do not have the ability to provide force feedback to an operator. Poor control of cell injection force is one of the primary reasons for low success rates in cell injection and transgenesis in particular. Therefore, there exists a need to incorporate force feedback into a cell injection system. We have developed a force feedback interface, which has the capability of measuring forces in the range of μN and provide a haptic display of the cell injection forces in real time. Using this force feedback interface, we performed several human factors studies to evaluate the effect of force feedback on cell injection outcomes. We tested our system with 40 human subjects and our experimental results indicate that the subjects were able to feel the cell injection force and confirmed our research hypothesis that the use of combined vision and force feedback leads to a higher success rate in cell injection task compared to using vision feedback alone. Note to Practitioners-Although transgenic organisms have been produced for the last 20 years, their full potential has not yet been realized. The power of the transgenic animal as a research tool lies in our ability to understand the functional consequences of gene expression or deletion during development. Producing organisms for these experiments is currently quite labor intensive and is inefficient for the reliable production of large numbers of transgenic organisms. Now that the genome is sequenced there is a pressing need to understand the functions of thousands of newly identified genes. Just as high throughput technology has revolutionized the human genome project, large-scale functional analysis can benefit from the use of automation and array technology. As a result the goal of this research is to understand the effect of force feedback in cell injection tasks and thereby use the results to improve the interface used by technicians to improve the outcome of biomanipulation tasks, particularly those leading to transgenesis.</EA>
<CC>001D02D11</CC>
<FD>Commande force; Temps réel; Homme; Asservissement visuel; Robotique; Méthode biologique; Biologie moléculaire; Mesure force; Interface utilisateur; Facteur humain; Génétique; Echelle grande; Analyse fonctionnelle</FD>
<ED>Force control; Real time; Human; Visual servoing; Robotics; Biological method; Molecular biology; Force measurement; User interface; Human factor; Genetics; Large scale; Functional analysis</ED>
<SD>Control fuerza; Tiempo real; Hombre; Servomando visual; Robótica; Método biológico; Biología molecular; Medición esfuerzo; Interfase usuario; Factor humano; Genética; Escala grande; Análisis funcional</SD>
<LO>INIST-21023B.354000161482990020</LO>
<ID>07-0415782</ID>
</server>
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Evaluating the effect of force feedback in cell injection

Evaluating the effect of force feedback in cell injection

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