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Automatic identification techniques of tuberculosis bacteria

Manuel Forero, Gabriel Cristobal, Josue Alvarez-Borrego, Andrew G. Tescher
2003 Applications of Digital Image Processing XXVI  
Tuberculosis is a serious illness which control is based on early diagnosis. A technique commonly used consist of analyzing sputum images for detecting bacilli.  ...  This technique is based on the heuristic acknowledge extracted from the bacilli shape contour.  ...  Veropoulos et al. 4, 5 used an identification method based on shape descriptors and neural network classifiers showing a sensitivity (ratio of true positive decisions against the total number of positives  ... 
doi:10.1117/12.506800 fatcat:d4fdnfumpncclpsbx4u33w4ipm

The The Classification of Acute Respiratory Infection (ARI) Bacteria Based on K-Nearest Neighbor

Zilvanhisna Emka Fitri, Lalitya Nindita Sahenda, Pramuditha Shinta Dewi Puspitasari, Prawidya Destarianto, Dyah Laksito Rukmi, Arizal Mujibtamala Nanda Imron
2021 Lontar Komputer  
Based on these problems, an automatic and accurate classification system of bacteria that causes Acute Respiratory Infection (ARI) was created.  ...  One of the performance indicators of infectious disease control and handling programs is disease discovery.  ...  The following process is feature extraction based on the shape (morphology) of bacteria.  ... 
doi:10.24843/lkjiti.2021.v12.i02.p03 fatcat:7hc3jgzchjcxhfqzjqh6fmzaem

MYCOBACTERIUM TUBERCULOSIS BACILLI CELLS IDENTIFICATION USING MOMENT INVARIANT
English

JADHAV ME, KALE KV, BAHETI MJ
2011 International Journal of Machine Intelligence  
For this reason the need of atomization is required for exact identification of tuberculosis.  ...  Our main objective is to recognizes M.TB bacilli cells with the help of color segmentation & shape base feature moment invariants using Gaussian member function.  ...  Worked on gray level images used an identification method based on shape descriptors and Neural network classifiers showing a sensitivity(ratio of true positive decision against the total number of positive  ... 
doi:10.9735/0975-2927.3.3.146-149 fatcat:yjo6taaa4fcwdfaw2p63oxkm5y

Bacteria Identification From Microscopic Morphology: A Survey

Noor Amaleena Mohamad, Noorain Awang Jusoh, Zaw Zaw Htike, Shoon Lei Win
2014 International Journal on Soft Computing Artificial Intelligence and Applications  
This paper also provides discussion on limitations of state-of-the-art automatic bacteria identification systems and recommends future direction of automatic bacteria identification.  ...  Great knowledge and experience on microbiology are required for accurate bacteria identification.  ...  The most basic technique used for classifying bacteria is based on the bacterium's shape and cell arrangement. The most ordinary shapes of bacteria include rod, cocci (round), and spiral forms.  ... 
doi:10.5121/ijscai.2014.3201 fatcat:5vfj7w43xnecpnzn4bsnvquvee

Methods of Classification of the Genera and Species of Bacteria Using Decision Tree

Anna Plichta
2019 Journal of Telecommunications and Information Technology  
using the simultaneous analysis of the following physical features of bacterial cells: color, size, shape, number of clusters, cluster shape, as well as density and distribution of the cells.  ...  It covers automatic recognition of twenty genera and species of bacteria chosen by the author whose original contribution to the work consisted in the decision to conduct the process of recognizing bacteria  ...  Besides, a method based not only on geometrical features but also on the average color of the analyzed images was used to automatically recognize tuberculosis bacilli [25] .  ... 
doi:10.26636/jtit.2019.137419 fatcat:fofxc2higrguhff2irw4hudxh4

Advances in Prokaryote Classification from Microscopic Images

Amaleena Mohamad, Noorain A.Jusoh, Zaw Zaw Htike, Shoon Lei Win
2014 Electrical & Computer Engineering: An International Journal  
This paper also provides discussion on limitations of state-of-the-art automatic bacteria identification systems and recommends future direction of automatic bacteria identification.  ...  Great knowledge and experience on microbiology are required for accurate bacteria identification.  ...  The most basic technique used for classifying bacteria is based on the bacterium's shape and cell arrangement. The most ordinary shapes of bacteria include rod, cocci (round), and spiral forms.  ... 
doi:10.14810/ecij.2014.3202 fatcat:3brcnal62zgrtiluwlt7k3p5oq

Surface Plasmon Coupled Emission Enabled Silver-C60 Nano-Biosensors for Sensitive Detection of Tuberculosis

Venkataramaniah Kamisetti
2016 International Journal of Biosensors & Bioelectronics  
Conflict of interest The author declares no conflict of interest.  ...  Fixing acid-fast and non-acid-fast bacteria on Ag-C 60 SPCE Substrates On having prepared the sub-cultures of the acid-fast M. tuberculosis and non-acid-fast E. coli and S. aureus bacteria; a sterile inoculation  ...  After this prescribed period, the M. tuberculosis bacteria were identified as brown or buff colored granular colonies.  ... 
doi:10.15406/ijbsbe.2016.01.00005 fatcat:62uqwv2havdfroute7fc4iabe4

Bacterial Symbionts of Soft Coral Lobophytum Sp. From Panjang Island, Jepara, Indonesia With Antimicrobial MDR TB Potency

Yuvianti Dwi Franyoto, Ahmad Fuad Masduqi, Sakti Muchlisin, Prasetyo Abi Widyananto, Sulistiyani Sulistiyani, Diah Permata Wijayanti, Lia Kusmita
2019 Journal of Tropical Pharmacy and Chemistry  
Based on the results of identification with PCR, soft coral symbionts of PLO2 was closely related to Virgibacillus marismortui with homology of 99%.  ...  One isolate from Lobophytum-associated bacteria were successfully screened for antimycobacterial against MDR TB bacteria. PLO2 was found to inhibit the growth of MDR TB (MDR TB strain SIRE and R).  ...  Purification was conducted by separation of colony morphology (color, shapes, margin, and texture).  ... 
doi:10.25026/jtpc.v4i5.200 fatcat:begppj25w5b43iybgxxqhvjzfe

Analysis of ZNStained Sputum Smear enhanced images for identification of Mycobacterium Tuberculosis Bacilli cells

Jadhav Mukti, Kale K.V.
2011 International Journal of Computer Applications  
The analysis of ZN-Stain sputum smear images for the proper identification of Mycobacterium tuberculosis.  ...  Many of the scientist worked on gray level images or some used color images.  ...  [4] [5] .Worked on gray level images used an identification method based on shape descriptors and Neural network classifiers showing a sensitivity(ratio of true positive decision against the total  ... 
doi:10.5120/2882-3760 fatcat:btacuxm35jegpm6lzxx676w6ky

Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer [article]

Jinghua Zhang, Chen Li, Yimin Yin, Jiawei Zhang, Marcin Grzegorzek
2022 arXiv   pre-print
After that, the papers related to microorganism image analysis based on classical and deep neural networks are reviewed from the perspectives of different tasks.  ...  Therefore, we conduct this review to comprehensively discuss the characteristics of microorganism image analysis based on artificial neural networks.  ...  Zixian Li and Mr. Guoxian Li for their important discussion in this work. Chen Li is both the co-first author and corresponding author of this paper.  ... 
arXiv:2108.00358v3 fatcat:urt7siqpg5hrtdctxbfjhv4krq

Discovery ofMycobacterium tuberculosisα-1,4-Glucan Branching Enzyme (GlgB) Inhibitors by Structure- and Ligand-based Virtual Screening

Hedwin Kitdorlang Dkhar, Anupriya Gopalsamy, Saurabh Loharch, Amandeep Kaur, Isha Bhutani, Kanmani Saminathan, Ella Bhagyaraj, Vemika Chandra, Kunchithapadam Swaminathan, Pushpa Agrawal, Raman Parkesh, Pawan Gupta
2014 Journal of Biological Chemistry  
Because ␣-glucans are implicated in the survival of both replicating and non-replicating bacteria, there exists an exigent need for the identification and development of novel inhibitors for targeting  ...  Virtual hits were generated after structure and ligand-based screening followed by filters based on interaction with human GlgB and in silico pharmacokinetic parameters.  ...  Acknowledgment-We thank the Council of Scientific and Industrial Research Institute of Microbial Technology for providing facilities. R.P. thanks OpenEye for free academic license.  ... 
doi:10.1074/jbc.m114.589200 pmid:25384979 pmcid:PMC4281769 fatcat:ihc42dpqfncmflnf47zmwcfwci

High-voltage electron microscopy tomography and structome analysis of unique spiral bacteria from the deep sea

Masashi Yamaguchi, Hiroyuki Yamada, Kimitaka Higuchi, Yuta Yamamoto, Shigeo Arai, Kazuyoshi Murata, Yuko Mori, Hiromitsu Furukawa, Mohammad Shorif Uddin, Hiroji Chibana
2016 Microscopy  
This ribosome number is only 1.2% of that of Escherichia coli and 19.3% of Mycobacterium tuberculosis and may reflect a very slow growth rate of this organism in the deep sea.  ...  The bacteria, which is named as 'Myojin spiral bacteria' after the discovery location and their morphology, had a total length of 1.768 ± 0.478 µm and a total diameter of 0.445 ± 0.050 µm, and showed either  ...  We also thank the crew of the research vessel Natsushima and the staff of Japan Marine Science and Technology for their support of the NT10-08 cruise.  ... 
doi:10.1093/jmicro/dfw016 pmid:27230559 fatcat:skag44lvyjeungtiwvprapieiy

Detection of Escherichia Coli Bacteria by Using Image Processing Techniques

Fatih Karatepe, Busra Tas, Ozlem Coskun, Mesud Kahriman
2022 International Journal of Biology and Biomedical Engineering  
Bacteria counting is usually carried out by the naked eye or even by Coulter counter machines, which are based on the rather expensive electric field measurement method.  ...  In this study, image-based enumeration of Escherichia Coli over the colony morphology in the petri dish was investigated.  ...  This technique is based on a combination of simple edge detection methods over a fixed shape-based color channels. Some properties were determined by examining samples prepared from bacilli.  ... 
doi:10.46300/91011.2022.16.31 fatcat:jvhudpnvzrhlpplxegfkzqgirm

Automated bacterial identification by angle resolved dark-field imaging

Benjamin K. Wilson, Genevieve D. Vigil
2013 Biomedical Optics Express  
We propose and demonstrate a dark-field imaging technique capable of automated identification of individual bacteria.  ...  An 87-channel multispectral system capable of angular and spectral resolution was used to measure the scattering spectrum of various bacteria in culture smears.  ...  Acknowledgments The authors thank Bill and Melinda Gates for their active support of this work and their sponsorship through the Global Good Fund.  ... 
doi:10.1364/boe.4.001692 pmid:24049690 pmcid:PMC3771840 fatcat:7pcxvcdkqfa3rk5x6g7q3mn77y

Deep learning approach to bacterial colony classification

Bartosz Zieliński, Anna Plichta, Krzysztof Misztal, Przemysław Spurek, Monika Brzychczy-Włoch, Dorota Ochońska, Bin Liu
2017 PLoS ONE  
In microbiology it is diagnostically useful to recognize various genera and species of bacteria.  ...  In this article, we apply the state of the art method for texture analysis to classify genera and species of bacteria.  ...  [8] describes a method for automated recognition of tuberculosis. It is based not only on geometrical features but also on the average color of the images.  ... 
doi:10.1371/journal.pone.0184554 pmid:28910352 pmcid:PMC5599001 fatcat:dzfzqtg7lbfj3nmcnarzm5mxn4
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