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Ikbal Sencan
Researcher at Harvard University
Publications - 52
Citations - 2316
Ikbal Sencan is an academic researcher from Harvard University. The author has contributed to research in topics: Microscopy & Holography. The author has an hindex of 17, co-authored 47 publications receiving 2034 citations. Previous affiliations of Ikbal Sencan include University of California & University of California, Los Angeles.
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Journal ArticleDOI
Lensfree microscopy on a cellphone.
Derek Tseng,Onur Mudanyali,Cetin Oztoprak,Serhan O. Isikman,Ikbal Sencan,Oguzhan Yaglidere,Aydogan Ozcan +6 more
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.
Journal ArticleDOI
Compact, light-weight and cost-effective microscope based on lensless incoherent holography for telemedicine applications
Onur Mudanyali,Derek Tseng,Chulwoo Oh,Serhan O. Isikman,Ikbal Sencan,Waheb Bishara,Cetin Oztoprak,Sungkyu Seo,Bahar Khademhosseini,Aydogan Ozcan +9 more
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.
Journal ArticleDOI
Cost-effective and rapid blood analysis on a cell-phone
Hongying Zhu,Ikbal Sencan,Justin Wong,Stoyan Dimitrov,Derek Tseng,Keita Nagashima,Aydogan Ozcan +6 more
TL;DR: A compact and cost-effective imaging cytometry platform installed on a cell-phone for the measurement of the density of red and white blood cells as well as hemoglobin concentration in human blood samples is demonstrated.
Journal ArticleDOI
Lensless wide-field fluorescent imaging on a chip using compressive decoding of sparse objects
TL;DR: A compressive sampling based optimization algorithm is used to rapidly reconstruct the sparse distribution of fluorescent sources to achieve ~10 µm spatial resolution over the entire active region of the sensor-array over an imaging field-of-view of >8 cm2.
Journal ArticleDOI
High-Throughput Lens-Free Blood Analysis on a Chip
Sungkyu Seo,Serhan O. Isikman,Ikbal Sencan,Onur Mudanyali,Ting-Wei Su,Waheb Bishara,Anthony Erlinger,Aydogan Ozcan +7 more
TL;DR: The prospects of lens-free holographic on-chip imaging to provide a useful tool for global health problems, especially by facilitating whole blood analysis in resource-poor environments are uncovered.