FahamecV1:A Low Cost Automated Metaphase Detection System
DOI:
https://doi.org/10.48084/etasr.1464Keywords:
automation, metaphase detection system, focus, image processing, 3D printing, FahamecV1Abstract
In this study, FahamecV1 is introduced and investigated as a low cost and high accuracy solution for metaphase detection. Chromosome analysis is performed at the metaphase stage and high accuracy and automated detection of the metaphase stage plays an active role in decreasing analysis time. FahamecV1 includes an optic microscope, a motorized microscope stage, an electronic control unit, a camera, a computer and a software application. Printing components of the motorized microscope stage (using a 3D printer) is of the main reasons for cost reduction. Operations such as stepper motor calibration, are detection, focusing, scanning, metaphase detection and saving of coordinates into a database are automatically performed. To detect metaphases, a filter named Metafilter is developed and applied. Average scanning time per preparate is 77 sec/cm2. True positive rate is calculated as 95.1%, true negative rate is calculated as 99.0% and accuracy is calculated as 98.8%.
References
J. Piper, M. Poggensee, W. Hill, R. Jensen, L. Ji, I. Poole, M. Stark, D. Sudar, “Automatic fluorescence metaphase finder speeds translocation scoring in FISH painted chromosomes”, Cytometry, Vol. 16, No. 1, pp. 7–16, 1994
R. Huber, U. Kulka, T. Lorch, H. Braselmann, M. Bauchinger, “Automated metaphase finding: an assessment of the efficiency of the METAFER2 system in a routine mutagenicity assay”, Mutation Research/Environmental Mutagenesis and Related Subjects, Vol. 334, No. 1, pp. 97–102, 1995
A. Furukawa, M. Minamihisamatsu, I. Hayata, “Low-Cost Metaphase System”, Health Physics, Vol. 98, No. 2, pp. 269–275, 2010
F. Arambula Cosío, L. Vega, A. Herrera Becerra, C. Prieto Meléndez, G. Corkidi, “Automatic identification of metaphase spreads and nuclei using neural networks”, Medical & Biological Engineering & Computing, Vol. 39, No. 3, pp. 391–396, 2001
X. Wang, B. Zheng, S. Li, J. J. Mulvihill, M. C. Wood, H. Liu, “Automated classification of metaphase chromosomes: Optimization of an adaptive computerized scheme”, Journal of Biomedical Informatics, Vol. 42, No. 1, pp. 22–31, 2009
Y. Qiu, J. Song, X. Lu, Y. Li, B. Zheng, S. Li, H. Liu, “Feature Selection for the Automated Detection of Metaphase Chromosomes: Performance Comparison Using a Receiver Operating Characteristic Method”, Analytical Cellular Pathology, Vol. 2014, pp. 1–9, 2014
L. Roy, V. Durand, M. Delbos, I. Sorokine-Durm, F. Soussaline, P. Voisin, “A New Image Analysis System for Biological Dosimetry by Fluorescent in situ Hybridization. Step 1: Metaphase Finder and Automatic Metaphase Acquisition Validation”, Journal of Radiation Research, Vol. 42, No. 2, pp. 165–177, 2001
K. Odawara, K. Yamamoto, H. Kato, M. Hara, K. Shigefumi, F. Kishida, A. Yoshitake, I. Nakatsuka, “A new semi-automated chromosome analysis system for in vitro chromosomal aberration tests”, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Vol. 389, No. 2–3, pp. 207–212, 1997
A. Furukawa, “The Project Of Another Low-Cost Metaphase Finder”, Radiation Protection Dosimetry, Vol. 172, No. 1–3, pp. 238–243, 2016
K. R. Castleman, “The PSI Automatic Metaphase Finder”, Journal of Radiation Research, Vol. 33, Suplement, pp. 124–128, 1992
J. Weber, W. Scheid, H. Traut, “Time-saving in biological dosimetry by using the automatic metaphase finder Metafer2”, Mutation Research/Environmental Mutagenesis and Related Subjects, Vol. 272, No. 1, pp. 31–34, 1992
X. Wang, B. Zheng, M. Wood, S. Li, W. Chen, H. Liu, “Development and evaluation of automated systems for detection and classification of banded chromosomes: current status and future perspectives”, Journal of Physics D: Applied Physics, Vol. 38, No. 15, pp. 2536–2542, 2005
G. Korthof, A. D. Carothers, “Tests of performance of four semiautomatic metaphase-finding and karyotyping systems”, Clinical Genetics, Vol. 40, No. 6, pp. 441–451, 2008
J. R. N. McLean, F. Johnson, “Evaluation of a metaphase chromosome finder: Potential application to chromosome-based radiation dosimetry”, Micron, Vol. 26, No. 6, pp. 489–492, 1995
Q. Yuchen, C. Xiaodong, L. Yuhua, C. Wei R., Z. Bin, L. Shibo, L. Hong, “Evaluations of auto-focusing methods under a microscopic imaging modality for metaphase chromosome image analysis”, Analytical Cellular Pathology, Vol. 36, No. 1-2, pp. 37–44, 2013
D. Bradley, G. Roth, “Adaptive Thresholding using the Integral Image”, Journal of Graphics Tools, Vol. 12, No. 2, pp. 13–21, 2007
G. Corkidi, L. Vega, J. Márquez, E. Rojas, P. Ostrosky-Wegman, “Roughness feature of metaphase chromosome spreads and nuclei for automated cell proliferation analysis”, Medical & Biological Engineering & Computing, Vol. 36, No. 6, pp. 679–685, 1998
Downloads
Published
How to Cite
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
