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Serhan O. Isikman

Researcher at University of California, Los Angeles

Publications -  47
Citations -  3009

Serhan O. Isikman is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Holography & Microscope. The author has an hindex of 21, co-authored 47 publications receiving 2783 citations. Previous affiliations of Serhan O. Isikman include University of California & Koç University.

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Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy

TL;DR: Unique features of lens-free computational imaging tools are discussed and some of their emerging results for wide-field on-chip microscopy, such as the achievement of a numerical aperture of ∼0.8–0.9 across a field of view (FOV) of more than 20 mm2, which corresponds to an image with more than 1.5 gigapixels.
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Lensfree microscopy on a cellphone.

TL;DR: This compact and light-weight holographic microscope installed on a cellphone does not utilize any lenses, lasers or other bulky optical components and it may offer a cost-effective tool for telemedicine applications to address various global health challenges.
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Compact, light-weight and cost-effective microscope based on lensless incoherent holography for telemedicine applications

TL;DR: This lensless incoherent holographic microscope has orders-of-magnitude improved light collection efficiency and is very robust to mechanical misalignments it may offer a cost-effective tool especially for telemedicine applications involving various global health problems in resource limited settings.
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Optical imaging techniques for point-of-care diagnostics

TL;DR: A review of state-of-the-art optical imaging techniques that can have a significant impact on global health by facilitating effective and affordable POC diagnostics is presented in this article.
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Lens-free optical tomographic microscope with a large imaging volume on a chip

TL;DR: Probing a large volume with a decent 3D spatial resolution, this lens-free optical tomography platform on a chip could provide a powerful tool for high-throughput imaging applications in, e.g., cell and developmental biology.