The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
John W Sedat - One of the best experts on this subject based on the ideXlab platform.
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microscope cockpit python based bespoke microscopy for bio medical science
Wellcome Open Research, 2021Co-Authors: Mick Phillips, David Miguel Susano Pinto, Nicholas Hall, Julio Mateoslangerak, Richard M Parton, Josh Titlow, Danail V Stoychev, Thomas Parks, Tiago Susano Pinto, John W SedatAbstract:We have developed “Microscope-Cockpit” (Cockpit), a highly adaptable open source user-friendly Python-based Graphical User Interface (GUI) environment for precision control of both simple and elaborate bespoke microscope systems. The user environment allows next-generation near instantaneous navigation of the entire slide landscape for efficient selection of specimens of interest and automated acquisition without the use of Eyepieces. Cockpit uses “Python-Microscope” (Microscope) for high-performance coordinated control of a wide range of hardware devices using open source software. Microscope also controls complex hardware devices such as deformable mirrors for aberration correction and spatial light modulators for structured illumination via abstracted device models. We demonstrate the advantages of the Cockpit platform using several bespoke microscopes, including a simple widefield system and a complex system with adaptive optics and structured illumination. A key strength of Cockpit is its use of Python, which means that any microscope built with Cockpit is ready for future customisation by simply adding new libraries, for example machine learning algorithms to enable automated microscopy decision making while imaging.
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microscope cockpit python based bespoke microscopy for bio medical science
bioRxiv, 2021Co-Authors: Mick Phillips, David Miguel Susano Pinto, Nicholas Hall, Julio Mateoslangerak, Richard M Parton, Josh Titlow, Danail V Stoychev, Thomas Parks, Tiago Susano Pinto, John W SedatAbstract:We have developed "Microscope-Cockpit" (Cockpit), a highly adaptable open source user-friendly Python-based GUI environment for precision control of both simple and elaborate bespoke microscope systems. The user environment allows next-generation near-instantaneous navigation of the entire slide landscape for efficient selection of specimens of interest and automated acquisition without the use of Eyepieces. Cockpit uses "Python-Microscope" (Microscope) for high-performance coordinated control of a wide range of hardware devices using open source software. Microscope also controls complex hardware devices such as deformable mirrors for aberration correction and spatial light modulators for structured illumination via abstracted device models. We demonstrate the advantages of the Cockpit platform using several bespoke microscopes, including a simple widefield system and a complex system with adaptive optics and structured illumination. A key strength of Cockpit is its use of Python, which means that any microscope built with Cockpit is ready for future customisation by simply adding new libraries, for example machine learning algorithms to enable automated microscopy decision making while imaging. HighlightsO_LIUser-friendly setup and use for simple to complex bespoke microscopes. C_LIO_LIFacilitates collaborations between biomedical scientists and microscope technologists. C_LIO_LITouchscreen for near-instantaneous navigation of specimen landscape. C_LIO_LIUses Python-Microscope, for abstracted open source hardware device control. C_LIO_LIWell-suited for user training of AI-algorithms for automated microscopy. C_LI
Byoungho Lee - One of the best experts on this subject based on the ideXlab platform.
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metasurface eyepiece for augmented reality
Nature Communications, 2018Co-Authors: Gunyeal Lee, John H. Hong, Seokil Moon, Soon Hyoung Hwang, Hyeokjung Kang, Sohee Jeon, Hwi Kim, Junho Jeong, Byoungho LeeAbstract:Recently, metasurfaces composed of artificially fabricated subwavelength structures have shown remarkable potential for the manipulation of light with unprecedented functionality. Here, we first demonstrate a metasurface application to realize a compact near-eye display system for augmented reality with a wide field of view. A key component is a see-through metalens with an anisotropic response, a high numerical aperture with a large aperture, and broadband characteristics. By virtue of these high-performance features, the metalens can overcome the existing bottleneck imposed by the narrow field of view and bulkiness of current systems, which hinders their usability and further development. Experimental demonstrations with a nanoimprinted large-area see-through metalens are reported, showing full-color imaging with a wide field of view and feasibility of mass production. This work on novel metasurface applications shows great potential for the development of optical display systems for future consumer electronics and computer vision applications.
Hong Hua - One of the best experts on this subject based on the ideXlab platform.
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High-resolution optical see-through multi-focal-plane head-mounted display using freeform optics.
Optics express, 2014Co-Authors: Xinda Hu, Hong HuaAbstract:Conventional stereoscopic displays force an unnatural decoupling of the accommodation and convergence cues, which may contribute to various visual artifacts and have adverse effects on depth perception accuracy. In this paper, we present the design and implementation of a high-resolution optical see-through multi-focal-plane head-mounted display enabled by state-of-the-art freeform optics. The prototype system is capable of rendering nearly-correct focus cues for a large volume of 3D space, extending into a depth range from 0 to 3 diopters. The freeform optics, consisting of a freeform prism eyepiece and a freeform lens, demonstrates an angular resolution of 1.8 arcminutes across a 40-degree diagonal field of view in the virtual display path while providing a 0.5 arcminutes angular resolution to the see-through view.
Benjamin R. Lee - One of the best experts on this subject based on the ideXlab platform.
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In Vitro Comparison of a Disposable Flexible Ureteroscope and Conventional Flexible Ureteroscopes
The Journal of urology, 2009Co-Authors: Ugur Boylu, Mathew Oommen, Raju Thomas, Benjamin R. LeeAbstract:Purpose: We compared and evaluated the objective characteristics (deflection characteristics, field of view and flow rate) of a disposable flexible ureteroscope and 6 established, commercially available flexible ureteroscopes.Material and Methods: Six commonly used ureteroscopes, including Olympus™ URF-P3, Storz® 11278AU and 11274AAU, ACMI™ DUR™-8 Elite and DUR-8, and Wolf 7331.001 (Richard Wolf Medical Instruments, Vernon Hills, Illinois), were compared with the recently introduced SemiFlex Scope™ disposable flexible ureteroscope. Specifications and purchase costs were acquired from each manufacturer. The disposable ureteroscope consisted of a reusable eyepiece and a semiflexible shaft with a 3.3Fr working channel. Active tip deflection was measured with and without the 3Fr basket, the 365 μm laser fiber and the 3Fr forceps. The flow rate and field of view of each scope were evaluated.Results: Active tip deflection (down/up) was highest in the disposable ureteroscope at 300/265 degrees. Although deflecti...
Mick Phillips - One of the best experts on this subject based on the ideXlab platform.
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microscope cockpit python based bespoke microscopy for bio medical science
Wellcome Open Research, 2021Co-Authors: Mick Phillips, David Miguel Susano Pinto, Nicholas Hall, Julio Mateoslangerak, Richard M Parton, Josh Titlow, Danail V Stoychev, Thomas Parks, Tiago Susano Pinto, John W SedatAbstract:We have developed “Microscope-Cockpit” (Cockpit), a highly adaptable open source user-friendly Python-based Graphical User Interface (GUI) environment for precision control of both simple and elaborate bespoke microscope systems. The user environment allows next-generation near instantaneous navigation of the entire slide landscape for efficient selection of specimens of interest and automated acquisition without the use of Eyepieces. Cockpit uses “Python-Microscope” (Microscope) for high-performance coordinated control of a wide range of hardware devices using open source software. Microscope also controls complex hardware devices such as deformable mirrors for aberration correction and spatial light modulators for structured illumination via abstracted device models. We demonstrate the advantages of the Cockpit platform using several bespoke microscopes, including a simple widefield system and a complex system with adaptive optics and structured illumination. A key strength of Cockpit is its use of Python, which means that any microscope built with Cockpit is ready for future customisation by simply adding new libraries, for example machine learning algorithms to enable automated microscopy decision making while imaging.
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microscope cockpit python based bespoke microscopy for bio medical science
bioRxiv, 2021Co-Authors: Mick Phillips, David Miguel Susano Pinto, Nicholas Hall, Julio Mateoslangerak, Richard M Parton, Josh Titlow, Danail V Stoychev, Thomas Parks, Tiago Susano Pinto, John W SedatAbstract:We have developed "Microscope-Cockpit" (Cockpit), a highly adaptable open source user-friendly Python-based GUI environment for precision control of both simple and elaborate bespoke microscope systems. The user environment allows next-generation near-instantaneous navigation of the entire slide landscape for efficient selection of specimens of interest and automated acquisition without the use of Eyepieces. Cockpit uses "Python-Microscope" (Microscope) for high-performance coordinated control of a wide range of hardware devices using open source software. Microscope also controls complex hardware devices such as deformable mirrors for aberration correction and spatial light modulators for structured illumination via abstracted device models. We demonstrate the advantages of the Cockpit platform using several bespoke microscopes, including a simple widefield system and a complex system with adaptive optics and structured illumination. A key strength of Cockpit is its use of Python, which means that any microscope built with Cockpit is ready for future customisation by simply adding new libraries, for example machine learning algorithms to enable automated microscopy decision making while imaging. HighlightsO_LIUser-friendly setup and use for simple to complex bespoke microscopes. C_LIO_LIFacilitates collaborations between biomedical scientists and microscope technologists. C_LIO_LITouchscreen for near-instantaneous navigation of specimen landscape. C_LIO_LIUses Python-Microscope, for abstracted open source hardware device control. C_LIO_LIWell-suited for user training of AI-algorithms for automated microscopy. C_LI
