Characterization of blood samples using image processing techniques

Ferraz, Ana; Carvalho, Vı́tor; Soares, Filomena; Leão, Celina Pinto

doi:10.1016/j.sna.2011.02.022

Cited by 17 publications

(12 citation statements)

References 13 publications

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“…Knowing the order in which the containers must be analyzed, quantification in each container is made being obtained the standard deviation values for each of the test samples. Through these standard deviations it is achieved the test results, and accordingly with a previously designed study [30] it is known that when the standard deviation value exceeds 16, the sample is agglutinated, and when the value standard deviation is less than 16, the sample is not agglutinated. The combination of agglutinated samples and not agglutinated samples is necessary to obtain the blood type, being this classification in charge of an algorithm of blood type classification developed.…”

Section: Image Processing Techniques Developedmentioning

confidence: 99%

“…Preliminary studies developed by the research team have endorsed the construction of different prototypes with different mixing mechanisms [29,30] and different approaches, where are present mechatronic [31] or mechanical solutions [32].…”

Section: Introductionmentioning

confidence: 99%

“…It is based on the plate test procedure to obtain results more quickly, but with automation of the entire procedure, reading and interpretation of the results to minimize the operator intervention and thus eliminate potential human errors. To develop the presented prototype it were considered previous studies developed by the authors [29][30][31][32] and the required automation for each of the pre-transfusion testing, including the reading and interpretation of results and intervention during the centrifugation procedure.…”

Section: Introductionmentioning

confidence: 99%

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Prototype for determination of pre-transfusion tests based on image processing techniques

Ferraz¹,

Machado

Carvalho

2015

2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG)

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This paper presents an innovative prototype to perform pre-transfusion tests especially developed for emergency situations. This prototype is portable and automates the procedure of the plate test. The prototype is based on image processing techniques to analyze the captured images from the performed test. The image processing techniques are able to detect agglutination reactions in the samples and based on the results of occurrence or absence of agglutination the result of the test is given. This paper also presents a user-friendly interface application to be used with the prototype developed. In this study the tests were performed with the prototype for ABO and Rh blood types and the prototype was tested with donor blood samples.

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Section: Image Processing Techniques Developedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prototype for determination of pre-transfusion tests based on image processing techniques

Ferraz¹,

Machado

Carvalho

2015

2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG)

Self Cite

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“…Ye et al [27][28][29] developed a vision-based structural displacement measurement system based on a digital image processing approach and verified its effectiveness and accuracy. In addition, digital imaging methods with advantages of the nonintrusion, nondestruction, multipoint measurement, high resolution, and cost-effectiveness have also been widely used in crack identification [30], characterization of blood samples [31], and three-dimensional reconstruction [32]. In the proposed method, pigment was diluted in a water film, images of the water film were captured by a digital camera, and finally, the thickness distribution was identified based on the grayscale index of the water film.…”

Section: Introductionmentioning

confidence: 99%

Thickness Measurement of Water Film/Rivulets Based on Grayscale Index

Jing

Cheng

et al. 2019

Remote Sensing

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This study proposed a nonintrusive and cost-efficient technique to measure the thickness of a thin water film/rivulet based on the grayscale index. This technique uses millions of probes and only needs a digital camera, fill lights, and pigment. For water colored with diluted pigment, the grayscale index of the water captured by a digital camera depends on the water thickness. This relationship can be utilized to measure the water thickness through digital image processing. In the present study, the relationship between the grayscale index and water thickness was theoretically and experimentally investigated. Theoretical derivation revealed that when the product of water thickness and the color density approaches to 0, the grayscale index is inversely proportional to the thickness. The experimental results show that under the color density of 0.05%, the grayscale index is inversely proportional to the thickness of water film when the thickness is less than 6 mm. This linear relationship was utilized to measure the distribution and profile of a water rivulet flowing on the lower surface of a cable model.

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“…SPR is a sensitive technique for detection of label‐free RBC on solid phase but the setup is rather complicated requiring vacuum deposited on glass‐based sensor surface. Fortunately, RBC immobilized on solid phase is easily seen by the naked eye and imaging analysis .…”

Section: Introductionmentioning

confidence: 99%