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public:research 2022/04/21 02:32 public:research 2024/03/29 13:57 current
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====== Current Research Projects ====== ====== Current Research Projects ======
-==== High Throughput Confocal Fluorescence Microscopy  ====+==== Multiplexed Confocal Fluorescence Lifetime Imaging Microscopy  ====
Comparing with conventional wide-field imaging microscopes, confocal microscopy hold significant advantages in image contrast enhancement, 3D sectioning capabilities, and compatibility with specialized detectors. For applications such as live cell imaging, slow acquisition speed is a key barrier to adaption of confocal microscopy. While wide-field microscopy is typically faster, multiplexed confocal schemes such as using a spinning foci array can significantly increase the image acquisition rate. The moving foci array in the spinning disc, however, prevents the use of specialized discrete photo detectors arrays. Comparing with conventional wide-field imaging microscopes, confocal microscopy hold significant advantages in image contrast enhancement, 3D sectioning capabilities, and compatibility with specialized detectors. For applications such as live cell imaging, slow acquisition speed is a key barrier to adaption of confocal microscopy. While wide-field microscopy is typically faster, multiplexed confocal schemes such as using a spinning foci array can significantly increase the image acquisition rate. The moving foci array in the spinning disc, however, prevents the use of specialized discrete photo detectors arrays.
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  * Nehad Hirmiz, Anthony Tsikouras, Elizabeth J. Osterlund, Morgan Richards, David W. Andrews, and Qiyin Fang, "Cross-talk reduction in a multiplexed synchroscan streak camera with simultaneous calibration," Opt. Express 27, 22602-22614 (2019), doi.org/10.1364/OE.27.022602 ([[https://doi.org/10.1364/OE.27.022602|online]])   * Nehad Hirmiz, Anthony Tsikouras, Elizabeth J. Osterlund, Morgan Richards, David W. Andrews, and Qiyin Fang, "Cross-talk reduction in a multiplexed synchroscan streak camera with simultaneous calibration," Opt. Express 27, 22602-22614 (2019), doi.org/10.1364/OE.27.022602 ([[https://doi.org/10.1364/OE.27.022602|online]])
  * Anthony Tsikouras, Pietro Peronio, Ivan Rech, Nehad Hirmiz, M. Jamal Deen, and Qiyin Fang, "Characterization of SPAD Array for Multifocal High-Content Screening Applications," Photonics 3(4):56, 2016; doi: 10.3390/photonics3040056, ([[http://www.mdpi.com/2304-6732/3/4/56/html|Open Access]])   * Anthony Tsikouras, Pietro Peronio, Ivan Rech, Nehad Hirmiz, M. Jamal Deen, and Qiyin Fang, "Characterization of SPAD Array for Multifocal High-Content Screening Applications," Photonics 3(4):56, 2016; doi: 10.3390/photonics3040056, ([[http://www.mdpi.com/2304-6732/3/4/56/html|Open Access]])
 +  *  Bo Xiong, Qiyin Fang, “Luminescence lifetime imaging using a cellphone camera with an electronic rolling shutter”, Optics Letters, 45(1): 81-84, 2020, doi.org/10.1364/OL.45.000081 (https://www.osapublishing.org/ol/abstract.cfm?uri=ol-45-1-81)
  *  Anthony Tsikouras, Richard Berman, David W. Andrews and Qiyin Fang, "High-speed multifocal array scanning using refractive window tilting," Biomedical Optics Express 6, 3737-3757, 2015. ([[https://www.osapublishing.org/boe/abstract.cfm?uri=boe-6-10-3737|Open Access]])   *  Anthony Tsikouras, Richard Berman, David W. Andrews and Qiyin Fang, "High-speed multifocal array scanning using refractive window tilting," Biomedical Optics Express 6, 3737-3757, 2015. ([[https://www.osapublishing.org/boe/abstract.cfm?uri=boe-6-10-3737|Open Access]])
  * Anthony Tsikouras, Jin Ning, Sandy Ng, Richard Berman, David W. Andrews, and Qiyin Fang, “Streak camera crosstalk reduction using  a multiple decay optical fiber bundle,” Optics Letters 37(2): 250-252, 2012. ({{:public:publications:fangq_tsikourasa_streak-flim_ol_2012.pdf|PDF}})\\   * Anthony Tsikouras, Jin Ning, Sandy Ng, Richard Berman, David W. Andrews, and Qiyin Fang, “Streak camera crosstalk reduction using  a multiple decay optical fiber bundle,” Optics Letters 37(2): 250-252, 2012. ({{:public:publications:fangq_tsikourasa_streak-flim_ol_2012.pdf|PDF}})\\
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==== Imaging in the Gastrointestinal Tract ("Google Streetview" of the Colon) ==== ==== Imaging in the Gastrointestinal Tract ("Google Streetview" of the Colon) ====
-In colonoscopy, it is important to monitor the progression or recurrence of suspected cancerous lesions (e.g., polyps). Because the colon is contractile and mobile, however, it is very difficult to relocate a lesion (e.g., a polyp) even during the same procedure. We are developing a novel 360 degree panoramic imaging method to build a map of colon lining, during colonoscopy, and use it to locate and track cancerous and pre-cancerous lesions. This research will make colon cancer screening and treatments more effective.  +In colonoscopy, it is important to monitor the progression or recurrence of suspected cancerous lesions (e.g., polyps). Because the colon is contractile and mobile, however, it is very difficult to relocate a lesion (e.g., a polyp) even during the same procedure. We are developing a novel 360 degree panoramic imaging method to build a map of colon lining, during colonoscopy, and use it to locate and track cancerous and pre-cancerous lesions. This research will make colon cancer screening and treatments more effective.  
 + 
 +A motion tracking device was previously developed to provide the accurate position, rotation, and velocity of the endoscope to be used in both upper and lower gastrointestinal procedures. It will help gastroenterologists during examination, diagnosis, treatments, and follow-ups to record precise location information during a procedure whether it is for determining the exact area for follow-ups, training doctors, or comparing the size of a tumour. In the current phase, this prototype design is being optimized using modern camera and imaging features as well as hardware and software design to produce a more efficient product that can be used in a clinical setting. The benefits of this design as compared to other solutions are the cost-effective, small-sized, real-time, and software based approach that can simplify the design and minimize the weight of the device. It is also placed externally on the endoscope and does not go inside the patient which allows for it to be removed or disposed
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**Publications:** **Publications:**
 +  * Ian H. D. Phillips, David Armstrong and Qiyin Fang, "A Real-Time Endoscope Motion Tracker," IEEE Journal of Translational Engineering in Health and Medicine, 10:1-9, 2022, ([[http://doi.org/10.1109/JTEHM.2022.3214148|Open Access]]).
  *  Samir Sahli, Roy, C. C. Wang, Aparna Murthy, David Armstrong, M. Jamal Deen, and Qiyin Fang, "a 360 degree side view endoscope for lower GI tract mapping," Physics in Canada, 71(1): 18-20, 2015 ([[https://pic-pac.cap.ca/index.php/Issues/showpdf/article/v71n1.0-a2394.pdf|online]])   *  Samir Sahli, Roy, C. C. Wang, Aparna Murthy, David Armstrong, M. Jamal Deen, and Qiyin Fang, "a 360 degree side view endoscope for lower GI tract mapping," Physics in Canada, 71(1): 18-20, 2015 ([[https://pic-pac.cap.ca/index.php/Issues/showpdf/article/v71n1.0-a2394.pdf|online]])
  * Roy Chih Chung Wang, M. Jamal Deen, David Armstrong, and Qiyin Fang, "development of a catadioptric endoscope objective with forward and side views," Journal of Biomedical Optics, 16(6):066015, 2011. ({{:public:publications:fangq_wangrcc_dual-view_jbo_2011.pdf|PDF}})   * Roy Chih Chung Wang, M. Jamal Deen, David Armstrong, and Qiyin Fang, "development of a catadioptric endoscope objective with forward and side views," Journal of Biomedical Optics, 16(6):066015, 2011. ({{:public:publications:fangq_wangrcc_dual-view_jbo_2011.pdf|PDF}})
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**Publications:** **Publications:**
 +  *  Bo Xiong, Tian-Qi Hong, Herb Schellhorn, Qiyin Fang, "Dual-Modality Imaging Microfluidic Cytometer for Onsite Detection of Phytoplankton," Photonics 8, 435, 2021. doi:10.3390/photonics8100435 ([[https://doi.org/10.3390/photonics8100435|Open Access]])
  *  Bo Xiong, Eric Mahoney, Joe F. Lo, Qiyin Fang, "A Frequency-domain optofluidic dissolved oxygen sensor with total internal reflection design for in situ monitoring", IEEE Selected Topics in Quantum Electronics, 27(4):1-7 2021, doi.org/10.1109/JSTQE.2020.2997810 ({{:public:publications:do_time_2020_jstqe_pre.pdf|Preprint PDF}})   *  Bo Xiong, Eric Mahoney, Joe F. Lo, Qiyin Fang, "A Frequency-domain optofluidic dissolved oxygen sensor with total internal reflection design for in situ monitoring", IEEE Selected Topics in Quantum Electronics, 27(4):1-7 2021, doi.org/10.1109/JSTQE.2020.2997810 ({{:public:publications:do_time_2020_jstqe_pre.pdf|Preprint PDF}})
  * Eric James Mahoney, Bo Xiong, and Qiyin Fang, "Optical model of light propagation in total internal reflection fluorescence sensors," Applied Optics 59(34):10651-10660, 2020, doi:10.1364/AO.404112 ([[https://doi.org/10.1364/AO.404112|online]])   * Eric James Mahoney, Bo Xiong, and Qiyin Fang, "Optical model of light propagation in total internal reflection fluorescence sensors," Applied Optics 59(34):10651-10660, 2020, doi:10.1364/AO.404112 ([[https://doi.org/10.1364/AO.404112|online]])
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==== Smart Aging ==== ==== Smart Aging ====
-The motivation behind developing a smart home for health monitoring is centered around two key aspects: (i) cost of care and (ii) quality of care. The public expenditure on health care in Ontario alone surpassed $50 billion in 2014. Our proposed strategy to reduce the growing financial and social pressure is to create a health institution within the home, allowing doctors and other healthcare providers to monitor and analyze the health of their patients remotely using low-cost non-invasive sensor and network technologies that are installed innocuously within the home. The project entails retrofitting the interior of the house to develop and test smart technology that will enable older people to live in their homes longer. The entire project combines a wide variety of sensors and cutting-edge technologies in an innovative manner to monitor the health of seniors. As well as helping older patients to live more safely and independently in their own homes, the research project seeks to relieve the burden on family members and caregivers, and reduce non-emergency visits to the hospital.\\+We aim to develop wearable and ambient sensing device technologies and personalized AI/ML algorithms for continuous, longitudinal assessment of older adults' health conditions during their daily living activities (ADL). Such longitudinal health dataset will enable early detection and personalized management of chronic and neurodegenerative diseases.  
 +\\ 
[[:public:research:shape-2021|Smart IPS Study]] \\ [[:public:research:shape-2021|Smart IPS Study]] \\
[[:public:research:shape|McMaster Smart Home for Aging-in-PlacE]] [[:public:research:shape|McMaster Smart Home for Aging-in-PlacE]]
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**Publications:**\\ **Publications:**\\
 +  * Brenda Vrkljan, Marla K. Beauchamp, Paula Gardner, Qiyin Fang, Ayse Kuspinar, Paul D. McNicholas, K. Bruce Newbold, Julie Richardson, Darren Scott, Manaf Zargoush and Vincenza Gruppuso, "Re-engaging in Aging and Mobility Research in the COVID-19 Era: Early Lessons from Pivoting a Large-Scale, Interdisciplinary Study amidst a Pandemic," Canadian Journal on Aging / La Revue Canadienne Du Vieillissement, 1-7, 2021, doi:10.1017/S0714980821000374 ([[http://doi.org/10.1017/S0714980821000374|Open Access]])
  * Sinead Dufour, Donna Fedorkow, Jessica Kun, Shirley S.X. Deng, & Qiyin Fang, "Exploring the Impact of a Mobile Health Solution for Postpartum Pelvic Floor Muscle Training: Pilot Randomized Controlled Feasibility Study." JMIR MHealth and UHealth, 7(7): e12587, 2019, doi.org/10.2196/12587 ([[https://doi.org/10.2196/12587|Open Access]])   * Sinead Dufour, Donna Fedorkow, Jessica Kun, Shirley S.X. Deng, & Qiyin Fang, "Exploring the Impact of a Mobile Health Solution for Postpartum Pelvic Floor Muscle Training: Pilot Randomized Controlled Feasibility Study." JMIR MHealth and UHealth, 7(7): e12587, 2019, doi.org/10.2196/12587 ([[https://doi.org/10.2196/12587|Open Access]])
  * Eric Mahoney, Colleen Chau, Qiyin Fang, "Experiential learning of data acquisition and sensor networks with a cloud computing platform," Proc. SPIE 11143, Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019, 111433X, 2 July 2019, doi.org/10.1117/12.2535399 ([[https://doi.org/10.1117/12.2535399|Open Access]]);   * Eric Mahoney, Colleen Chau, Qiyin Fang, "Experiential learning of data acquisition and sensor networks with a cloud computing platform," Proc. SPIE 11143, Fifteenth Conference on Education and Training in Optics and Photonics: ETOP 2019, 111433X, 2 July 2019, doi.org/10.1117/12.2535399 ([[https://doi.org/10.1117/12.2535399|Open Access]]);

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