Design Of Autofocus Microscope With Histogram Method For Tuberculosis Bacteria Observation

Kholil, Mohammad; Rulaningtyas, Riries; Winarno, Winarno

doi:10.20473/iapl.v1i1.21331

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…In addition, the addition of a digital camera to produce image capture and a focus controller program based on the results of the image histogram analysis. Based on measurements of images as much as 20 times the view of TB bacteria, it shows that the image with the best focus has the highest entropy value and an accuracy rate between 81.90% and 100% at a magnification object 1000 times [11].…”

Section: Tb (Tuberculosis) Is a Kind Of Infectious Disease Caused By ...mentioning

confidence: 99%

Integration of Microscopic Image Capturing System for Automatic Detection of Mycobacterium Tuberculosis Bacteria

Darmawan

Muhimmah

Kurniawan

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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The Ministry of Health of the Republic of Indonesia is running a program to eliminate Tuberculosis (TB) by 2030. At the Primary Health Care level, AFB (acid-fast bacteria) examination confirms the TB diagnosis. In this process, the patient's sputum is prepared in the form of preparation and observed by the laboratory analyst through the lens of a microscope. The reporting process to establish this diagnosis requires calculating the number of TB bacteria in 100 fields of view per preparation. This manual microscopic observation process is tedious, and the reading results are subjective. This study offers an integrated design for automatic microscopic imaging with a computer-integrated TB bacteria detection system. The process of taking pictures is automatically obtained with the help of a driving motor added to the microscope. With the addition of this motor, the process of taking microscopic images for 100 fields of view takes ±450 seconds. The proposed system integration process can reduce laboratory analysts' work fatigue in conducting microscopic observations manually. The TB bacteria detection system utilizes the working principle of image processing techniques by combining color-deconvolution, segmentation, and contour-detection methods. The comparative value of the TB object detection system with experts resulted in a sensitivity value of 77% and a specificity value of 68%. However, the low detection rate is because the image obtained is still blurry. Thus, further investigation is needed to determine the driving motor's movement rate and the right timing for taking microscopic images so that the resulting image is not blurry. The final result that is the focus of this paper is the successful integration of the system carried out between the motor drive system on the preparation stand and the TB bacteria detection system to become a unified system.

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Section: Tb (Tuberculosis) Is a Kind Of Infectious Disease Caused By ...mentioning

confidence: 99%

Integration of Microscopic Image Capturing System for Automatic Detection of Mycobacterium Tuberculosis Bacteria

Darmawan

Muhimmah

Kurniawan

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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“…e research of the usability evaluation of the microscope is based on the research trend of multiperspective and multidiscipline integration, and the relationship between users and the microscope is discussed based on different application scenarios, to measure its application effect. According to the content of the research and the focus, the usability evaluation of the microscope can be divided into three aspects: A Focusing on the usability evaluation of man-machine interactive experience between users and microscopes; B usability testing based on microscope products in specific application environments; C measuring the usability of the microscope product structure for specific observation tasks [6][7][8]. According to different evaluation content, the usability evaluation method of microscope not only involves a subjective questionnaire, but also involves the user physiological data collection and product structure data analysis in the process of microscope use.…”

Section: Microscope Usability Evaluationmentioning

confidence: 99%

Microscope Usability Evaluation Based on Fuzzy Analytic Hierarchy Process

Chen

Zheng

Wang

et al. 2022

Mathematical Problems in Engineering

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The basic position of microscope in experimental teaching is increasingly prominent, but there is still a big gap between its multidimensional index factors such as operation efficiency, effectiveness, and user satisfaction and the goal of teaching application. Based on the usability design theory, Kinovea video analysis software and ANSYS finite element analysis software were separately used to carry out user observation and product structure testing and analyze the multiple heterogeneous factors affecting the use of microscopes in teaching application scenarios and record usability data; the Fuzzy Analytic Hierarchy Process was utilized to summarize and analyze the usability data and construct a usability evaluation model of microscope. Under the guidance of the usability evaluation model, the microscope was optimized, and its usability was verified by Jack simulation and finite element analysis at last. The results show that: On the layer of operational efficiency, the usability index of intuitive operation and easy to learn of the microscope accounts for the largest weight. On the layer of effectiveness, the index of stable structural connection of the microscope has a larger weight; adjusting the material properties and product structure can effectively improve the stability of the microscope. On the layer of user satisfaction, the index of use comfortably of the microscope accounts for the largest weight, and the comfort of students’ neck and other joints can be improved by optimizing the microscope’s functional layout. This research provides an evaluation index reference and design optimization experience for the multiple heterogeneous factor-driven microscope usability design in teaching applications.

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“…Recently, active digital microscopy has been used to measure the size distribution of bubbles in various fields such as industry, medicine, plant observation, and education [11][12][13]. A DinoLite of digital microscope has been used to determine the size distribution of gas bubbles using image analysis of DinoCapture 2.0 software.…”

Section: Introductionmentioning

confidence: 99%

Segmentation on Electrode Surface: Enhancement of Electroflotation on Laboratory of Wastewater Treatment

Jumrah¹,

Putra²

2023

Atlantis Highlights in Chemistry and Pharmaceutical Sciences

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Performance of the electroflotation process is strongly influenced by the size and number of the hydrogen and oxygen gas bubbles that form during the electrolysis of water. In this study, the analysis of the size distribution of gas bubbles by the segmentation of the electrode surface was evaluated. Further results as the optimum condition were then applied in the laboratory of wastewater treatment. Stainless Steel electrode was used as the cathode, and Titanium was used as an anode at a constant voltage of 20 V for 30 min process. The results showed that the average gas bubble size was found to vary in the range of 0.15-0.4 mm, which impacted the maximum collision between the gas bubbles and colloidal particles during the electroflotation process. In addition, the number of gas bubbles that formed has affected the performance of this process. The effectiveness of the electroflotation process was evaluated by decreasing the turbidity, total dissolved solid (TDS), Pb concentration, and light intensity. The initial conditions of chemical laboratory wastewater with a 20-times dilution showed that the turbidity, TDS, Pb concentration, and light intensity were 41.8 NTU, 680 mg/L, 1.291 mg/L, and 782 lx, respectively. The optimum results obtained by the electroflotation process under the same parameters were 0.22 NTU (99.47%), 534 mg/L (21.47%), 0.443 mg/L (65.59%), and increased light intensity by 1031 lx. Based on these results, it can be concluded that the electroflotation process has proven to reduce pollutants.

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Design Of Autofocus Microscope With Histogram Method For Tuberculosis Bacteria Observation

Cited by 4 publications

References 4 publications

Integration of Microscopic Image Capturing System for Automatic Detection of Mycobacterium Tuberculosis Bacteria

Integration of Microscopic Image Capturing System for Automatic Detection of Mycobacterium Tuberculosis Bacteria

Microscope Usability Evaluation Based on Fuzzy Analytic Hierarchy Process

Segmentation on Electrode Surface: Enhancement of Electroflotation on Laboratory of Wastewater Treatment

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