A novel computation method for detection of Malaria in RBC using Photonic biosensor
Autor: | Pallerla Srikanth, A. M. Vaibhav, B. M. Hemanth Kumar |
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Rok vydání: | 2021 |
Předmět: |
Computer Networks and Communications
Computer science Artificial Intelligence parasitic diseases medicine Sensitivity (control systems) Electrical and Electronic Engineering FDTD- frequency division time domain Original Research Photonic crystal business.industry Applied Mathematics Finite-difference time-domain method medicine.disease Malaria Computer Science Applications Diagnosis of malaria Computational Theory and Mathematics Optoelectronics Photonics RBC-red blood cells business RI-Refractive index Photonic Crystal Biosensor Refractive index Information Systems |
Zdroj: | International Journal of Information Technology |
ISSN: | 2511-2112 2511-2104 |
DOI: | 10.1007/s41870-021-00782-z |
Popis: | Initial stage detection of malaria is very helpful in reducing the human death rate. Generally manual diagnosis is used for detection of malaria using 100 × to 600 × microscope but time required for this process is very large and false report chances are more, which results in death of a person. A high speed, low cost and result accurate biosensor plays a key role in diagnosis of malaria. When malaria parasite's infects RBC's, its mechanical, physical and biochemical structure will get modified results in change of refractive index of RBC. Therefore, refractive index varies from normal RBC to infected RBC. This factor is utilized to design the photonic biosensor for detection of malaria in humans and it is label free detection method. The proposed photonic crystal sensor has 10 µm × 10 µm dimension. The extracted sample is placed in the sensor holes and light beam with a wavelength of 1.85-1.95 µm is fed inside the bio sensor. If the malaria parasites are present then there will be variation in RI from normal sample results in the wavelength shift. FDTD technique is used for the simulation of this model. Quality factor achieved for this design is 214 and the sensitivity for change in refractive index is 225 nm/RIU. |
Databáze: | OpenAIRE |
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