Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Alborz Feizi"'
Autor:
Cameron Bell, Alborz Feizi, Gregory R. Roytman, Alim F. Ramji, Steven M. Tommasini, Daniel H. Wiznia
Publikováno v:
3D Printing in Medicine, Vol 10, Iss 1, Pp 1-5 (2024)
Abstract Background Femoral head avascular necrosis (AVN), or death of femoral head tissue due to a lack of blood supply, is a leading cause of total hip replacement for non-geriatric patients. Core decompression (CD) is an effective treatment to re-
Externí odkaz:
https://doaj.org/article/2b65f218398b4fd3be753c2f23255cda
Autor:
Alborz Feizi, MD, PhD, Cameron Ellison Bell, BS, Gregory Ronald Roytman, BS, Nancy Park, BS, Annie Wang, MD, Steven Tommasini, PhD, Daniel Wiznia, MD
Publikováno v:
Arthroplasty Today, Vol 26, Iss , Pp 101337- (2024)
Avascular necrosis of the femoral head is a debilitating condition that can lead to femoral head collapse. Core decompression with adjuvant cellular therapies, such as bone marrow aspirate concentrate, delays disease progression and improves outcomes
Externí odkaz:
https://doaj.org/article/c94a2129a1914ce8a921f953bdea6312
Publikováno v:
Metabolites, Vol 13, Iss 8, p 929 (2023)
Non-alcoholic fatty liver disease is a multifaceted disease that progresses through multiple phases; it involves metabolic as well as structural changes. These alterations can be measured directly or indirectly through blood, non-invasive imaging, an
Externí odkaz:
https://doaj.org/article/b639482599344c5cae50d7402f9b2b00
Publikováno v:
Light: Science & Applications, Vol 5, Iss 4, Pp e16060-e16060 (2015)
Abstract Undersampling and pixelation affect a number of imaging systems, limiting the resolution of the acquired images, which becomes particularly significant for wide-field microscopy applications. Various super-resolution techniques have been imp
Externí odkaz:
https://doaj.org/article/f41fd3ea2b494aadbaea33cbef568687
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e76475 (2013)
Based on partially-coherent digital in-line holography, we report a field-portable microscope that can render lensfree colour images over a wide field-of-view of e.g., >20 mm(2). This computational holographic microscope weighs less than 145 grams wi
Externí odkaz:
https://doaj.org/article/675fe4e642f443eaa3476b0710033c9b
Autor:
Aniruddha Ray, Yichen Wu, Alborz Feizi, Aydogan Ozcan, Yi Luo, Eva Chen, Xin Tong, Qingshan Wei
Publikováno v:
ACS Photonics. 6:294-301
Aggregation-based assays, using micro- and nano-particles have been widely accepted as an efficient and cost-effective bio-sensing tool, particularly in microbiology, where particle clustering events are used as a metric to infer the presence of a sp
Autor:
Aniruddha Ray, Chloe Cheung, Zhuoran Duan, Dino Di Carlo, Bijie Bai, Xuewei Liu, Tairan Liu, Aydogan Ozcan, Daniel H. Kim, Donghyuk Kim, Hatice Ceylan Koydemir, Omai B. Garner, Alexander Guziak, Alborz Feizi, Mengxing Ouyang, Sener Yalcin, Janay Kong, Katherine H. Tsai, Yibo Zhang, Yi Luo
Publikováno v:
Optics and Biophotonics in Low-Resource Settings VII.
We present a deep learning-based high-throughput cytometer to detect rare cells in whole blood using a cost-effective and light-weight design. This system uses magnetic-particles to label and enrich the target cells. Then, a periodically-alternating
Autor:
Alborz Feizi, Aydogan Ozcan, Qingshan Wei, Eva Chen, Yichen Wu, Xin Tong, Aniruddha Ray, Yi Luo
Publikováno v:
Optics and Biophotonics in Low-Resource Settings VI.
We demonstrate an automatic, high-throughput and high-sensitivity particle aggregation-based sensor that uses wide-field, compact and cost-effective lens-less microscopy, powered by deep neural networks. In this method, the post-reaction assay is ima
Autor:
Alexander Guziak, Janay Kong, Tairan Liu, Sener Yalcin, Katherine H. Tsai, Donghyuk Kim, Daniel H. Kim, Hatice Ceylan Koydemir, Zhuoran Duan, Dino Di Carlo, Bijie Bai, Mengxing Ouyang, Chloe Cheung, Xuewei Liu, Omai B. Garner, Aniruddha Ray, Yi Luo, Yibo Zhang, Alborz Feizi, Aydogan Ozcan
Publikováno v:
Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN).
We present a cost-effective and high-throughput computational cytometer using a magnetically-modulated lensless imaging technique and deep learning-based classification, to rapidly detect rare cells in whole blood, achieving a detection limit of 10 c
Autor:
Donghyuk Kim, Daniel H. Kim, Alborz Feizi, Aydogan Ozcan, Xuewei Liu, Omai B. Garner, Tairan Liu, Yibo Zhang, Yi Luo, Aniruddha Ray, Janay Kong, Alexander Guziak, Hatice Ceylan Koydemir, Zhuoran Duan, Dino Di Carlo, Bijie Bai, Katherine H. Tsai, Mengxing Ouyang, Sener Yalcin, Chloe Cheung
Publikováno v:
Light, Science & Applications
Light, science & applications, vol 8, iss 1
Light: Science & Applications, Vol 8, Iss 1, Pp 1-15 (2019)
Light, science & applications, vol 8, iss 1
Light: Science & Applications, Vol 8, Iss 1, Pp 1-15 (2019)
Detecting rare cells within blood has numerous applications in disease diagnostics. Existing rare cell detection techniques are typically hindered by their high cost and low throughput. Here, we present a computational cytometer based on magnetically