Exploration on human blood type case in teaching practice of genetics

2013 ◽  
Vol 35 (8) ◽  
pp. 1040-1044
Author(s):  
Yan PI ◽  
Xiao-Ying LI ◽  
Cong HUAI ◽  
Shi-Ming WANG ◽  
Shou-Yi QIAO ◽  
...  
Keyword(s):  
Human Blood ◽  
Teaching Practice ◽  
Blood Type

scholarly journals Functional Simulation of Human Blood Identification Device using Feed-Forward Artificial Neural Network for FPGA Implementation

2018 ◽  
Author(s):  
Denny Darlis ◽  
Heri Murwati ◽  
Rizki Ardianto Priramadhi ◽  
Mohamad Ramdhani
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Success Rate ◽  
Human Blood ◽  
Fpga Implementation ◽  
Blood Type ◽  
Network Algorithms ◽  
Artifical Neural Network ◽  
Functional Simulation ◽  
Hardware Description

The identification of human blood type stillrequires a fast and accurate device considering the number ofblood samples that need to be distributed and transfusedimmediately. In this study we propose a hardwareimplementation of human blood type identification devices usingfeedforward neural network algorithms on grayscale images ofblood samples. The images to be used are 32x32 pixels, 48x48pixels, 64x64, 80x80, and 9x96 pixels. The algorithm wereimplemented using VHSIC Hardware Description Language.With artifical neural network implemented on Xilinx FPGASpartan 3S1000, the success rate of detection by grouping by themean and median ratios of the number of '1' bits is more than75%.

Human Blood Type Influences the Host-Seeking Behavior and Fecundity of the Asian Malaria Vector Anopheles Stephensi.

2021 ◽  
Author(s):  
Shahmshad Ahmed Khan ◽  
Nur Faeza Abu Kassim ◽  
Cameron Ewart Webb ◽  
Muhammad Anjum Aqueel ◽  
Saboor Ahmad ◽  
...  
Keyword(s):  
Blood Group ◽  
Malaria Vector ◽  
Human Blood ◽  
Anopheles Stephensi ◽  
Disease Risk ◽  
Blood Groups ◽  
Blood Type ◽  
Physiological Factors ◽  
Host Seeking ◽  
Group B

Abstract The nutritional requirements of mosquitoes include both sugar (generally derived from the nectar of flowers) and blood (humans or animals). Mosquitoes express different degrees of preferences towards hosts depending on behavioral, ecological, and physiological factors. These preferences have implications for mosquito-borne disease risk. The present study is directed to reveal the effect of the human blood groups on the fecundity and fertility of the malaria vector Anopheles stephensi. In laboratory tests, mosquitoes were fed on ABO blood groups via artificial membrane feeders, and the level of attraction against different blood groups was tested by the electroantennogram and wind tunnel bioassay under control conditions. Overall, the human blood type had a significant impact on the fecundity and fertility of female An. stephensi. The highest numbers of eggs are laid, in the case of blood group B, (mean (±SD)) 203.19 (9.45) followed by the AB, 105.75 (4.51), and O, 98.8 (3.98). In the case of blood group B, females attain the highest fertility of about 89.98 (5.43%). This study provides novel insight into the ABO host choice of the mosquitoes that are still partially unknown and suggests more personal protection, which is a useful tool for the prevention of malaria.

6. Blood transfusion

2016 ◽  
pp. 103-123
Author(s):  
Chris Cooper
Keyword(s):  
Blood Transfusion ◽  
20Th Century ◽  
Human Blood ◽  
Blood Type ◽  
Early 20Th Century ◽  
Animal Blood ◽  
Blood Banks ◽  
History Of ◽  
Abo Blood Type ◽  
The 19Th Century

‘Blood transfusion’ outlines the history of transfusing animal blood dating back to the 17th century. The 19th century saw the first successful human blood transfusion, but two major issues remained: the problems of clotting and blood group incompatibility. Albert Hustin and Luis Agote resolved the first issue in 1914 by using sodium citrate in transfusions to work as an anticoagulant. Richard Lewisohn calculated the correct levels of citrate needed to avoid poisoning the blood. Karl Landsteiner’s work in early 20th-century Vienna revealed the ABO blood type distinctions, solving the latter problem. The creation of blood banks and the potential for viral contamination of blood and blood products are also discussed.

scholarly journals Vi-deficient and nonfimbriated mutants ofSalmonella typhiagglutinate human blood type antigens and are hyperinvasive

1998 ◽  
Vol 161 (1) ◽  
pp. 75-82 ◽  
Author(s):  
Masaki Miyake ◽  
Licheng Zhao ◽  
Takayuki Ezaki ◽  
Kenji Hirose ◽  
Abdul Quayum Khan ◽  
...  
Keyword(s):  
Human Blood ◽  
Blood Type

scholarly journals A Survey on Identification of Blood Group Types and its Hemoglobin Estimation Using Image Processing

2021 ◽  
pp. 1034-1040
Author(s):  
Kanchan Prakash Pachghare ◽  
Dr. Sandeep V. Rode
Keyword(s):  
Blood Group ◽  
Human Blood ◽  
Current System ◽  
Short Interval ◽  
Test Procedure ◽  
Blood Groups ◽  
Blood Type ◽  
Blood Collection ◽  
Blood Typing ◽  
Short Period

It is very crucial to determine human blood groups in an emergency situation. But according to current system, the detection procedure is very slow. At present, human blood groups are determined manually through plate test procedure. It consists of blood collection and mixing with specific reagents in order to determine the blood agglutination. Blood typing is system which basically used to detect specific blood group of human. Investigation of appropriate blood type within short interval of time plays vital role in blood transfusion, donation, accident and other emergency situations. Currently, blood typing tests are performed by technicians in laboratories. But it is monotonous to do with large number of blood samples, require more time to diagnosis and, as these tests carried out manually, it may introduce human error which will be harmful. Hemoglobin (Hb), a very significant parameter for the human body and deficiency of it causes anemia. During pregnancy, menstruation and ICU deficiency of it can be very risky and even caused death. So, it is important to diagnose it continuously. Usually, physicians examine it by conducting a blood test to confirm it is painful, time-consuming and costly. The major concept of this study is to screen Hb levels within a short period of time. This paper focused on recent advances in detection of blood group with hemoglobin, which can classify different blood group within short period of time with great accuracy and calculate its hemoglobin level.

scholarly journals Peramalan Kebutuhan Darah Jenis Packet Red Cells (PRC) di PMI Kota Surabaya dengan Metode Jaringan Syaraf Tiruan Propagasi Balik

2018 ◽  
Vol 4 (1) ◽  
pp. 7-11
Author(s):  
Azmi Khulmala Devi ◽  
Teguh - Herlambang
Keyword(s):  
Neural Network ◽  
Human Body ◽  
Human Blood ◽  
Blood Cells ◽  
Red Cells ◽  
Blood Type ◽  
Whole Body ◽  
Red Cross

Human blood is liquid in human body, which functions to transport oxigen needed by cells to the whole body. Considering the important blood function, the Indonesian Red Cross (PMI) has to maintain its blood stock stability to ensure the blood availibility. But the problem that PMI has to encounter with is its blood over-supply which leads to blood disposal. To minimize its unnessary blood disposal, estimation of blood need is required. Data of blood demand is normalized first, then estimation is made using Neural Network Backpropagation. In this study the estimation is made to the blood type of Packet Red Cells (PRC), the blood cells stocked at PMI Kota Surabaya. The best simulation result is at epoch 3000 with function Y = 4542,33 – 1,64595 x – 0,244018 x^2 and an error of  0,020314.

scholarly journals Haemolytic activity of Actinobacillus actinomycetemcomitans strains on different blood types

1995 ◽  
Vol 37 (3) ◽  
pp. 215-217 ◽  
Author(s):  
Mario Julio Avila-Campos
Keyword(s):  
Yeast Extract ◽  
Human Blood ◽  
Blood Type ◽  
Actinobacillus Actinomycetemcomitans ◽  
Haemolytic Activity ◽  
Blood Types ◽  
Microaerophilic Conditions

Haemolytic activity of sixty nine Actinobacillus actinomycetemcomitans strains on different animal and human blood types was examined by using a trypticase soy agar supplemented with yeast extract (0.5%). Blood types used were: rabbit, sheep and human (A, Rh+; A, Rh-; B, Rh+; B, Rh-; O, Rh+; O, Rh-; AB, Rh+; AB, Rh- groups). Plates were inoculated and, incubated in microaerophilic conditions, at 37ºC, for 48 h. The haemolytic activity of the tested strains was characterized as alpha-haemolysis. Only two isolates were not haemolytic on all blood types (2.9%), two strains were haemolytic only on human blood (one strain on AB, Rh+ group and another one on A, Rh+ and AB, Rh+ groups). No specificity between haemolysin produced by the tested strains and blood type was observed.

Determination of human blood type using image processing techniques

Measurement ◽  
2017 ◽  
Vol 97 ◽  
pp. 165-173 ◽  
Author(s):  
Ana Ferraz ◽  
Vítor Carvalho ◽  
José Machado
Keyword(s):  
Image Processing ◽  
Human Blood ◽  
Blood Type ◽  
Image Processing Techniques ◽  
Processing Techniques

Mechatronic System for ABO Human Blood Typing

2014 ◽  
Vol 8 (4) ◽  
Author(s):  
Vânia Moreira ◽  
José Machado ◽  
Vítor Carvalho ◽  
Filomena Soares ◽  
Ana Ferraz
Keyword(s):  
Image Processing ◽  
Response Time ◽  
Human Blood ◽  
Fast Response ◽  
Blood Type ◽  
Medical Emergency ◽  
Blood Typing ◽  
Image Processing Techniques ◽  
Emergency Situations ◽  
Processing Techniques

In medical emergency situations, when a patient needs a blood transfusion, the universal blood type O− is administered. This procedure may lead to the depletion of stock reserves of O− blood. Nowadays, there is no commercial equipment capable of determining the patient's blood type in situ, in a fast and reliable process. Human blood typing is usually performed through the manual test, which involves a macroscopic observation and interpretation of the results by an analyst. This test, despite of having a fast response time, may lead to human errors, which sometimes can be fatal to the patient. This paper presents the development of an automatic mechatronic prototype for determining human blood typing (ABO and Rh systems) through image processing techniques. The prototype design takes into account the characteristics of reliability of analysis, portability, and response time allowing the system to be used in emergency situations. The developed prototype performs blood and reagents mixture acquires the resultant image and processes the data (based on image processing techniques) to determine the sample blood type. It was tested in a laboratory, using cataloged samples of blood types, provided by the Portuguese Institute of Blood and Transplantation. Hereafter, it is expected to test and validate the prototype in clinical environments.

scholarly journals Pendeteksi Golongan Darah Manusia Berbasis Tensorflow menggunakan ESP32-CAM

2021 ◽  
Vol 9 (2) ◽  
pp. 359
Author(s):  
HUMMAM GHASSAN GHIFARI ◽  
DENNY DARLIS ◽  
ARIS HARTAMAN
Keyword(s):  
Image Processing ◽  
Object Detection ◽  
Blood Sample ◽  
Blood Group ◽  
Human Blood ◽  
Blood Type ◽  
Ip Address ◽  
Human Blood Group ◽  
Group Detection ◽  
The Ideal

ABSTRAKPendeteksian golongan darah dilakukan untuk mengetahui golongan darah yang dimiliki. Hingga saat ini pendeteksian golongan darah masih dilakukan oleh petugas analis kesehatan menggunakan kemampuan mata manusia. Pada penelitian ini dilakukan perancangan alat pendeteksi golongan darah menggunakan ESP32-CAM. Alat ini menggunakan kamera OV2640 untuk menangkap citra, yang diproses menggunakan Tensorflow Object Detection API sebagai framework untuk melatih serta mengolah citra darah. Model latih akan digunakan pada kondisi pendeteksian langsung dan ditampilkan dalam bentuk jendela program golongan darah beserta tingkat akurasinya. Dalam penelitian ini pengujian dilakukan menggunakan 20 dataset dengan jarak pengukuran antara ESP32-CAM dengan citra golongan darah yaitu sejauh 20 cm. Hasil yang didapat selama pengujian mayoritas golongan darah yang dapat terdeteksi adalah golongan darah AB.Kata kunci: ESP32-CAM, Tensorflow, Python, Golongan Darah, Pengolahan Citra ABSTRACTBlood group detection is performed to determine the blood group. Currently, in detecting blood type, it still relies on the ability of the human eyeThis paper presents a human blood group detection device using ESP32-CAM. This tool uses ESP32-CAM to capture images, and the Tensorflow Object Detection API as a framework used to train and process an image. The way this tool works is that the ESP32-CAM will capture an image of the blood sample and then send it via the IP address. Through the IP Address, the python program will access the image, then the image will be processed based on a model that has been previously trained. The results of this processing will be displayed in the form of a window program along with the blood type and level of accuracy. In this study, testing was carried out based on the number of image samples, the number of datasets, and the measurement distance. The ideal measurement distance between the ESP32-CAM and the blood group image is 20 cm long. The results obtained during the testing of the majority of blood groups that can be detected are AB blood group.Keywords: ESP32-CAM, Tensorflow, Python, Blood Type, Image Processing

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