Automated Blood Smear Analysis for Mobile Malaria Diagnosis

2018 ◽  
pp. 132-149
Keyword(s):  
Blood Smear ◽  
Malaria Diagnosis

scholarly journals Red blood cell classification on thin blood smear images for malaria diagnosis

2020 ◽  
Vol 1444 ◽  
pp. 012036 ◽  
Author(s):  
Budi Sunarko ◽  
Djuniadi ◽  
Murk Bottema ◽  
Nur Iksan ◽  
Khakim A N Hudaya ◽  
...  
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Blood Smear ◽  
Malaria Diagnosis ◽  
Thin Blood Smear ◽  
Cell Classification

scholarly journals Comparative Study of Modified Quantitative Buffy Coat and Two Rapid Tests in Comparison with Peripheral Blood Smear in Malaria Diagnosis in Mumbai, India

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Manali M. Kocharekar ◽  
Sougat S. Sarkar ◽  
Debjani Dasgupta
Keyword(s):  
Blood Smear ◽  
Malaria Diagnosis ◽  
Peripheral Blood Smear ◽  
Buffy Coat ◽  
False Positives ◽  
Accurate Diagnosis ◽  
Smear Microscopy ◽  
Reliable Technique ◽  
Rapid Tests

In order to identify a quick and reliable technique for accurate diagnosis of malaria, study of the efficiency of the tests such as Parahit total (HRPII & aldolase Ag), Advantage mal card (parasite specific LDH), and modified QBC was done in comparison with conventional blood smear microscopy. One hundred patients infected withP. vivaxand 101 infected withP. falciparumwere included in this study. The sensitivity of Parahit total, Advantage mal card, and modified QBC forP. falciparumdetection was 70.3, 95%, and 98%, and specificity was 98%, 98%, and 96%, respectively. The sensitivity of Parahit total, Advantage mal card, and modified QBC forP. vivaxdetection was 73%, 97.0%, and 98%, respectively, and specificity of all the tests was 98%. On day 15, in falciparum arm, Advantage mal card and Parahit total showed 8 (7.92%) and 59 (58.41%) false positives. On day 15, in vivax arm, Parahit total revealed 52% false positives. The study indicated that modified QBC could be only used where appropriate facilities are available. Advantage mal card was a better follow-up tool than Parahit total.

scholarly journals Detection of malaria parasites in thick blood smear: A review

2018 ◽  
Vol 3 (1) ◽  
pp. 27-35
Author(s):  
Faza Maula Azif ◽  
Hanung Adi Nugroho ◽  
Sunu Wibirama
Keyword(s):  
Digital Image ◽  
Blood Smear ◽  
Eastern Mediterranean ◽  
Malaria Diagnosis ◽  
World Health ◽  
Computer Assisted ◽  
Thick Blood Smear ◽  
Plasmodium Parasite ◽  
Health Organization ◽  
Aided Diagnosis

Based on data from World Health Organization, in 2015, there are 90% of deaths caused by malaria disease in Africa, Southeast Asia and countries of eastern Mediterranean. It makes the malaria become one of the most dangerous diseases that often leads to death. To support the diagnosis of malaria, early detection of plasmodium parasite is needed. Recently, malaria diagnosis process can be done with the help of computer, or often referred to as Computer Aided Diagnosis (CAD). By utilizing the digital image from the blood staining process, digital image processing can be performed to detect the presence of malaria parasite. There are 2 types of blood smear images that can be used in the malaria diagnosis process, namely, thin blood smear images and thick blood smear images. This paper provides a review of the techniques and methods used in the diagnosis of computer-assisted malaria using thick blood smear images as a diagnostic material.

First Step of Automated Malaria Diagnosis: Evaluation of Focus Functions in Thick Blood Smear Images

2019 ◽  
pp. 231-237
Author(s):  
M. G. F. Costa ◽  
L. N. A. Almeida ◽  
F. B. Guimarães ◽  
M. G. V. Barbosa ◽  
M. M. Ogusku ◽  
...  
Keyword(s):  
Blood Smear ◽  
Malaria Diagnosis ◽  
Thick Blood Smear

Timing the Blood Smear For Malaria Diagnosis

JAMA ◽  
1967 ◽  
Vol 202 (3) ◽  
pp. 248
Author(s):  
Howard B. Shookhoff
Keyword(s):  
Blood Smear ◽  
Malaria Diagnosis

Timing the Blood Smear For Malaria Diagnosis

JAMA ◽  
1967 ◽  
Vol 202 (3) ◽  
pp. 248
Author(s):  
Edward K. Markell
Keyword(s):  
Blood Smear ◽  
Malaria Diagnosis

DNA Sensors for Malaria Diagnosis

Nano LIFE ◽  
2015 ◽  
Vol 05 (02) ◽  
pp. 1541003 ◽  
Author(s):  
Marianne Smedegaard Hede ◽  
Søren Fjelstrup ◽  
Birgitta Ruth Knudsen
Keyword(s):  
Gold Standard ◽  
Blood Smear ◽  
Malaria Diagnosis ◽  
High Sensitivity ◽  
Nucleic Acid Amplification ◽  
Diagnostic Tools ◽  
Smear Microscopy ◽  
Dna Sensors ◽  
User Friendliness ◽  
Current Review

In the field of malaria diagnosis much effort is put into the development of faster and easier alternatives to the gold standard, blood smear microscopy. Nucleic acid amplification based techniques pose some of the most promising upcoming diagnostic tools due to their potential for high sensitivity, robustness and user-friendliness. In the current review, we will discuss some of the different DNA-based sensor systems under development for the diagnosis of malaria.

scholarly journals Malaria Diagnostic Practices in U.S. Laboratories in 2017

2018 ◽  
Vol 56 (8) ◽  
Author(s):  
Christopher Prestel ◽  
Kathrine R. Tan ◽  
Francisca Abanyie ◽  
Robert Jerris ◽  
Julie R. Gutman
Keyword(s):  
United States ◽  
Blood Smear ◽  
Diagnostic Testing ◽  
Malaria Diagnosis ◽  
The United States ◽  
Diagnostic Practices ◽  
Similar Survey ◽  
American Society ◽  
Delays In Diagnosis ◽  
Diagnostic Capabilities

ABSTRACT In the United States, the gold standard for malaria diagnosis is microscopic blood smear examination. Because malaria is not endemic in the United States, diagnostic capabilities may be limited, causing delays in diagnosis and increased morbidity and mortality. A survey of the malaria diagnostic practices of U.S. laboratories was conducted from June to July 2017; members of the American Society for Microbiology's listserv received a questionnaire inquiring about malaria diagnostic test availability, techniques, and reporting. Results were assessed using the Clinical and Laboratory Standards Institute (CLSI) guidelines for malaria diagnostics. After excluding incomplete and duplicate responses, responses representing 175 laboratories were included. Most labs (99%) received at least one specimen annually for malaria diagnosis, and 31% reported receiving only 1 to 10 specimens. The majority (74%) diagnosed five or fewer cases of malaria per year. Most (90%) performed blood smears on-site. Two-thirds (70%) provided initial blood smear results within 4 h. Although diagnostic testing for malaria was available 24/7 at 74% (141) of responding laboratories, only 12% (17) met criteria for analysis and reporting of malaria testing, significantly more than reported in a similar survey in 2010 (3%; P < 0.05). The majority of laboratories surveyed had the capability for timely diagnosis of malaria; few comply with CLSI guidelines. Inexperience may factor into this noncompliance; many laboratories see few to no cases of malaria per year. Although reported adherence to CLSI guidelines was higher than in 2010, there is a need to further improve laboratory compliance with recommendations.

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