M
Mohamed Elsayed
Researcher at University of Toronto
Publications - 35
Citations - 440
Mohamed Elsayed is an academic researcher from University of Toronto. The author has contributed to research in topics: Silicon & Raman scattering. The author has an hindex of 8, co-authored 30 publications receiving 248 citations. Previous affiliations of Mohamed Elsayed include American University in Cairo & Assiut University.
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Journal ArticleDOI
The optoelectronic microrobot: A versatile toolbox for micromanipulation
Shuailong Zhang,Erica Y. Scott,Jastaranpreet Singh,Yujie Chen,Yanfeng Zhang,Mohamed Elsayed,M. Dean Chamberlain,Nika Shakiba,Kelsey Adams,Siyuan Yu,Cindi M. Morshead,Peter W. Zandstra,Peter W. Zandstra,Aaron R. Wheeler +13 more
TL;DR: The optoelectronic microrobotic system described here was demonstrated to be useful for single-cell isolation, clonal expansion, RNA sequencing, manipulation within enclosed systems, controlling cell–cell interactions, and isolating precious microtissues from heterogeneous mixtures.
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Lithography-free wide-angle antireflective self-cleaning silicon nanocones
TL;DR: The random textured SiNCs array showed very promising broadband antireflective properties through the entire visible wavelength range at different incident angles up to ±60° and could become self-cleaning due to the high contact angle.
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Semiconductor plasmonic gas sensor using on-chip infrared spectroscopy
TL;DR: In this paper, a plasmonic slot waveguide was used for on-chip optical sensing of gases, and a dispersion analysis was carried out using the finite element method to study the effect of dopant concentration and waveguide geometry on the guided modes.
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Characterization of rheotaxis of bull sperm using microfluidics
TL;DR: The results show that PR is prevalent in bull sperm, which confirms rheotaxis as a strong mechanism for guiding sperm to the oocyte, and it is found that increasing flow velocity increases the percentage of sperm cells exhibiting PR and sperm swimming speed.
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Development of computer-assisted sperm analysis plugin for analyzing sperm motion in microfluidic environments using Image-J.
TL;DR: A previously reported computer-assisted sperm analysis (CASA) plugin for Image-J was modified to enable analyzing motion of sperm cells in microfluidic environments and built an image processing pipeline to enhance object detection, which increased CASA accuracy considerably.