ASEE Zone 2 Conference 2017

Proceedings »

Image Processing Based Bio-Sensing System for Cancer Cells Detection

Would it be beneficial to have a system that provides preliminary results of whether a patient has cancer? While several techniques were developed for the detection of cancer, pathological analysis has been the gold standard. However, it may take a significant amount of time to provide definite results, which sometimes can be subjective to the Pathologist that did the analysis. In some cases, the results come back negative using an enormous amount of resources for the test. In other cases, the result may be positive after waiting for many weeks without the patient having started the treatment, this leaves the patient with a worse prognosis than if the treatment was started earlier. For this reason, accurate and fast diagnostic tools are required to be developed. Biosensors are devices that recognize a biological component and transduces their detection into readable outputs for electronic systems to understand and process. However, Bio sensing Systems are expensive and require experts to operate, which are not available in many parts of the world. The main purpose of this research is design and develop an electric embedded system that will identify cancer cells from an image and quantifying the amount of the pixels in the RGB spectrum around the cells, using algorithms from image processing for detection, together with fluorescence probes, can provide the diagnosis to the physician in just a few hours or less, which can be used to start an early treatment to improve the prognosis

Author(s):

Jenipher D. Gonz├ílez Aponte    
Electrical and Computer Engineering
Universidad del Turabo
Puerto Rico

Miguel A. Goenaga-Jimenez    
Electrical and Computer Engineering
Universidad del Turabo
Puerto Rico

Lisandro F. Cunci-Perez    
Science
Universidad del Turabo
Puerto Rico

 

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