Smartphone based platform for real-time sharing of medical diagnostics information by optical detection of functionalized fluorescent magnetic nanoparticles

AbstractThe first step in a scale invariant image matching system is scale space generation. Nonlinear scale space generation algorithms such as AKAZE, reduce noise and distortion in different scales while retaining the borders and key-points of the image. An FPGA-based hardware architecture for AKAZE nonlinear scale space generation is proposed to speed up this algorithm for real-time applications. The three contributions of this work are (1) mapping the two passes of the AKAZE algorithm onto a hardware architecture that realizes parallel processing of multiple sections, (2) multi-scale line buffers which can be used for different scales, and (3) a time-sharing mechanism in the memory management unit to process multiple sections of the image in parallel. We propose a time-sharing mechanism for memory management to prevent artifacts as a result of separating the process of image partitioning. We also use approximations in the algorithm to make hardware implementation more efficient while maintaining the repeatability of the detection. A frame rate of 304 frames per second for a $$1280 \times 768$$ 1280 × 768 image resolution is achieved which is favorably faster in comparison with other work.

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A Brain-to-Brain Interface for Real-Time Sharing of Sensorimotor Information

Scientific Reports ◽

10.1038/srep01319 ◽

2013 ◽

Vol 3 (1) ◽

Cited By ~ 101

Author(s):

Miguel Pais-Vieira ◽

Mikhail Lebedev ◽

Carolina Kunicki ◽

Jing Wang ◽

Miguel A. L. Nicolelis

Keyword(s):

Real Time ◽

Time Sharing ◽

Brain Interface ◽

Sensorimotor Information

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Efficient capturing and sensitive detection of hepatitis A virus from solid foods (green onion, strawberry, and mussel) using protamine-coated iron oxide (Fe3O4) magnetic nanoparticles and real-time RT-PCR

Food Microbiology ◽

10.1016/j.fm.2021.103921 ◽

2021 ◽

pp. 103921

Author(s):

Ruiqin Wu ◽

Baozhong Meng ◽

Milena Corredig ◽

Mansel W. Griffiths

Keyword(s):

Iron Oxide ◽

Magnetic Nanoparticles ◽

Real Time ◽

Hepatitis A ◽

Hepatitis A Virus ◽

Sensitive Detection ◽

Fe3o4 Magnetic Nanoparticles ◽

Rt Pcr ◽

Solid Foods

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Recent Advances in Application of Biosensors in Tissue Engineering

BioMed Research International ◽

10.1155/2014/307519 ◽

2014 ◽

Vol 2014 ◽

pp. 1-18 ◽

Cited By ~ 56

Author(s):

Anwarul Hasan ◽

Md Nurunnabi ◽

Mahboob Morshed ◽

Arghya Paul ◽

Alessandro Polini ◽

...

Keyword(s):

Tissue Engineering ◽

Cell Culture ◽

Small Molecules ◽

Real Time ◽

Inflammatory Cytokines ◽

Serum Proteins ◽

Molecular Size ◽

Medical Diagnostics ◽

Alpha Fetoprotein ◽

Pharmaceutical Industries

Biosensors research is a fast growing field in which tens of thousands of papers have been published over the years, and the industry is now worth billions of dollars. The biosensor products have found their applications in numerous industries including food and beverages, agricultural, environmental, medical diagnostics, and pharmaceutical industries and many more. Even though numerous biosensors have been developed for detection of proteins, peptides, enzymes, and numerous other biomolecules for diverse applications, their applications in tissue engineering have remained limited. In recent years, there has been a growing interest in application of novel biosensors in cell culture and tissue engineering, for example, real-time detection of small molecules such as glucose, lactose, and H2O2as well as serum proteins of large molecular size, such as albumin and alpha-fetoprotein, and inflammatory cytokines, such as IFN-g and TNF-α. In this review, we provide an overview of the recent advancements in biosensors for tissue engineering applications.

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