Yazar "Sarioglu, B." seçeneğine göre listele

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    3D Printed Head for a Handheld Laser Scanning Confocal Microscope
    (Maik Nauka/Interperiodica/Springer, 2021) Yildirim, I. D.; Sarioglu, B.; Gokdel, Y. D.
    The laser scanning confocal microscope head can axially move and perform z-slicing. The presented confocal microscope head is composed of (1) an optical fiber bundle, (2) a custom-designed mechanical housing and lastly, (3) an embedded electronic system to control the head and gather images from the samples. The dimensions of the housing are 88 x 160 x 110 mm; and it is 3D printed with 30% filling ratio using standard PLA 3D printing material. The presented handheld confocal microscope is capable of moving with 1 mu m step size back and forth in axial direction and has a dynamic range of 2 cm. The results show that cost-effective 3D printing methods are suitable for realizing a handheld confocal microscope with an axial movement feature. Using cheap and replaceable 3D printed parts can ease the cleaning and disinfection procedures in clinical practices.
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    An electronic control and image acquisition system for laser scanning microscopy
    (Institute of Electrical and Electronics Engineers Inc., 2016) Gumus, G.; Sarioglu, B.; Daghan Gokdel, Y.
    This paper presents an electronic system that controls the entire operation of a laser scanning microscopy system through a DAQ card. Proposed system does not only create the required electro-coil driving signal peculiar to magnetically actuated micro-scanner that enables the raster-scanning movement, but also is responsible from the image acquisition part by both serially gathering the laser intensity data and using it to construct a meaningful microscopy image. Micro-scanner which is fabricated using Ni as the structural material is utilized in the system. The micro-scanner's slow and fast scan frequencies are measured to be 250 Hz and 1560 Hz, respectively. Model of the DAQ card used in the system is NI-6356 which has maximum 5 mA current and 10 V voltage outputs. A power amplifier circuit with LM 386 is designed and added to the system for increasing field-of-view of the micro-scanner. The operation of the proposed system is demonstrated by acquiring data and constructing images from the USAF resolution target. © 2015 Chamber of Electrical Engineers of Turkey.
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    Integrated silicon photovoltaics on CMOS with MEMS module for catheter tracking
    (Institute of Electrical and Electronics Engineers Inc., 2015) Kouhani, M.H.M.; Camli, B.; Cakaci, A.U.; Kusakci, E.; Sarioglu, B.; Dundar, G.; Torun, H.
    This paper presents an electromagnetic actuation-based optoelectronic active catheter tracking system for magnetic resonance imaging (MRI). The system incorporates a radio frequency (RF) microelectromechanical system (MEMS) resonator array actuated by the Lorentz force induced due to the strong dc magnetic field available in MRI environment. Power transfer to the system and the actuation detection are done optically via fiber optic cables that replace conventional conductive transmission lines; thereby, enabling the tracking system to function safely under MRI. The complementary metal-oxide-semiconductor (CMOS) receiver, optically powered by a supply unit housing an on-chip silicon photovoltaic cell, detects the location of the catheter tip. The RF MEMS resonator array transmits the position data by transducing the electrical signal into a resonant mechanical vibration linearly. The optical reading of this actuation can be done by diffraction grating interferometry or laser doppler vibrometry. The fabricated resonator array is tested with the optically powered CMOS chip (0.18-? m UMC technology) in laboratory conditions. The driving electrical current supplied by the chip for resonator actuation is 25-\muA rms, where the magnetic field provided by the experimental setup is 0.62 T. The resonator array is observed to be functional with real-world application by showing a frequency response of 10 dB, which will be enhanced further under the stronger magnetic field available in 3-T MRI. © 1983-2012 IEEE.
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    Modeling and Implementation of an Adaptive Wireless Sensor Network for Low Power IoT Applications
    (Institute of Electrical and Electronics Engineers Inc., 2023) Olcay, K.; Taparci, E.; Akmandor, M.O.; Kabakulak, B.; Sarioglu, B.; Gokdel, Y.D.
    Wireless Sensor Networks (WSNs) consist of low cost and energy small electronic devices such as sensors, actuators, routers and gateways. A WSN can sense various type of data, such as temperature, humidity, pH.. etc, with the sensors scattered on an agricultural region and collect the data at a cloud database via multi-hop data transmission routes. The number of periods that a WSN operates is the network lifetime which strongly depends on the limited battery energy of the devices. Hence, in order to prolong the lifetime, we propose a centralized mathematical model which deploys minimum number of devices within limited budget, efficiently utilizes the device battery by planning their active/sleep schedules and determining the minimum energy consuming data flow paths towards the cloud. We also realized the proposed model on hardware level using low power embedded system architectures. © 2023 University of Split, FESB.
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    RoboSantral An autonomous mobile guide robot
    (IEEE, 2015) Denker, A.; Dilek, A. U.; Sarioglu, B.; Savas, J.; Gokdel, Y. D.
    RoboSantral, An autonomous mobile robot which has been designed and realized in order to guide the visitors through a university campus, is presented in this paper. This robot accompanies guests through the campus and gives presentations on predefined locations. Location data is obtained from GPS sensors. Targets such as faculty buildings, museums etc... are recognized by the image processing of pre-defined tags. As microprocessor and microcontroller, Raspberry Pi and Arduino are used respectively.
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    RoboSantral: An autonomous mobile guide robot
    (Institute of Electrical and Electronics Engineers Inc., 2015) Denker, A.; Dilek, A.U.; Sarioglu, B.; Savas, J.; Gokdel, Y.D.
    RoboSantral, An autonomous mobile robot which has been designed and realized in order to guide the visitors through a university campus, is presented in this paper. This robot accompanies guests through the campus and gives presentations on predefined locations. Location data is obtained from GPS sensors. Targets such as faculty buildings, museums etc... are recognized by the image processing of pre-defined tags. As microprocessor and microcontroller, Raspberry Pi and Arduino are used respectively. © 2015 IEEE.
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    System integration for real-time laser scanning confocal microscope
    (Institute of Electrical and Electronics Engineers Inc., 2016) Gumus, G.; Sarioglu, B.; Gokdel, Y.D.
    In this work, a laser scanning confocal microscopy system governed by a software controlled DAQ Card is presented. The presented system can be utilized for scanning a target and displaying the resulting image through a designed graphical user interface (GUI). The system performs two main operations: (1) generation of the actuation signal and (2) image acquisition. The architecture of the proposed system and successful operation of the system is demonstrated by constructing images from USAF51 negative resolution test target. In the experiments, the proposed system is operated at the slow scan frequency (fslow) of 1 Hz and the fast scan frequency (ffast) of 100 Hz with a sampling frequency (fs) of 20 kHz. The experimental results show that 1 ?m lateral resolution is achieved in the proposed system. © 2016 IEEE.