In-line digital holographic microscopy using a consumer scanner

Shimobaba, Tomoyoshi; Yamanashi, Hiroya; Kakue, Takashi; Oikawa, Minoru; Okada, Naohisa; Endo, Yutaka; Hirayama, Ryuji; Masuda, Nobuyuki; Ito, Tomoyoshi

doi:10.1038/srep02664

Cited by 24 publications

(17 citation statements)

References 12 publications

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“…33 This also means that for out of focus samples the overlap of images relayed by neighboring lenses will not be perfect, hence several shifted copies of the object will appear in addition to the regular out of focus blur corresponding to each lens in the array. Therefore, for experimental systems using a CIS type scanner in conjunction with other optical elements, it is typical to remove the GRIN lens array, and use the bare sensor line to avoid such imaging artifacts 25,34 .…”

Section: Imaging Architectures and Properties Of Flatbed Scannersmentioning

confidence: 99%

Biomedical imaging and sensing using flatbed scanners

Gӧrӧcs

Ozcan

2014

Lab Chip

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In this Review, we provide an overview of flatbed scanner based biomedical imaging and sensing techniques. The extremely large imaging field-of-view (e.g., ~600–700 cm2) of these devices coupled with their cost-effectiveness provide unique opportunities for digital imaging of samples that are too large for regular optical microscopes, and for collection of large amounts of statistical data in various automated imaging or sensing tasks. Here we give a short introduction to the basic features of flatbed scanners also highlighting the key parameters for designing scientific experiments using these devices, followed by a discussion of some of the significant examples, where scanner-based systems were constructed to conduct various biomedical imaging and/or sensing experiments. Along with mobile phones and other emerging consumer electronics devices, flatbed scanners and their use in advanced imaging and sensing experiments might help us transform current practices of medicine, engineering and sciences through democratization of measurement science and empowerment of citizen scientists, science educators and researchers in resource limited settings.

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Section: Imaging Architectures and Properties Of Flatbed Scannersmentioning

confidence: 99%

Biomedical imaging and sensing using flatbed scanners

Gӧrӧcs

Ozcan

2014

Lab Chip

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“…For the imaging of moving objects, single-exposure online (SEOL) holography [11] has enabled holograms of the specimens to be captured with only a single exposure. Recently, acquisition of an in-line hologram of over 0.4 gigapixels, realized with a consumer digital scanner, has been reported [12]. The availability of the hologram naturally has led to numerous important research works on digital holographic-based 3D object recognition (H3DOR).…”

Section: Introductionmentioning

confidence: 99%

Review of holographic-based three-dimensional object recognition techniques [Invited]

et al. 2014

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With the advancement of computing and optical technologies, it is now possible to capture digital holograms of real-life object scenes. Theoretically, through the analysis of a hologram, the three-dimensional (3D) objects coded on the hologram can be identified. However, being different from an optical image, a hologram is composed of complicated fringes that cannot be analyzed easily with traditional computer vision methods. Over the years, numerous important research investigations have been attempted to provide viable solutions to this problem. The aim of this work is three-fold. First, we provide a quick walkthrough on the overall development of holographic-based 3D object recognition (H3DOR) in the past five decades, from film-based approaches to digital-based innovation. Second, we describe in more detail a number of selected H3DOR methods that are introduced at different timelines, starting from the late sixties and then from the seventies, where viable digital holographic-based 3D recognition methods began to emerge. Finally, we present our work on digital holographic, pose-invariant 3D object recognition that is based on a recently introduced virtual diffraction plane framework. As our method has not been reported elsewhere, we have included some experimental results to demonstrate the feasibility of the approach.

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“…The scientific literature contains different works which indicate the use of commercial flatbed scanners as measuring instruments in various fields, such as: engineering [1][2][3], biology [4], archaeology [5], mineralogy [6], biomedical sciences [7] and astronomy [8]. In all cases, the justification for their use is based on the speed, versatility and ease of this equipment for image acquisition.…”

Section: Introductionmentioning

confidence: 99%