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  1. 1

    Microarray Core Detection by Geometric Restoration by Jimmy C. Azar, Christer Busch, Ingrid B. Carlbom

    Published 2012-01-01
    “…Furthermore, the algorithm is more efficient than existing methods based on the Hough transform for circle detection. The algorithm’s simplicity, accuracy, and computational efficiency allow for automated high-throughput analysis of microarray images.…”
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    Article
  2. 2

    Photopolymerization as an innovative detection technique for low-density microarrays by Laura R. Kuck, Amber W. Taylor

    Published 2008-08-01
    “…One limitation that accounts in part for the scarcity of commercially available diagnostic microarrays is the expense associated with fluorescence detection. …”
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  3. 3

    Effective detection of 148 cases chromosomal mosaicism by karyotyping, chromosomal microarray analysis and QF-PCR in 32,967 prenatal diagnoses by Yi Deng, Lan Zeng, Zhiling Wu, Jin Wang, Mengling Ye, Chun Chen, Ping Wei, Danni Wang, Guangming Deng, Shuyao Zhu

    Published 2025-04-01
    “…Abstract Background Detection of mosaicism has always been difficult in prenatal diagnosis, which is to assess the value of karyotyping combined with three different molecular genetic tests for prenatal diagnosis. …”
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  4. 4

    Prenatal diagnosis and molecular cytogenetic analysis of pure chromosome 10p15.3 microdeletion using chromosomal microarray analysis by Na Zhang, Nan Huang, Yu’e Chen, Xinying Chen, Jianlong Zhuang

    Published 2024-12-01
    “…Karyotyping and chromosomal microarray analysis (CMA) was conducted to assess chromosomal abnormalities and detect copy number variations (CNVs) within the families, respectively. …”
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  5. 5

    CCD Standard Curve Fitting for Microarray Detection Base on Multi-Layer Perceptron by Zhenhua Gan, Dongyu He, Peishu Wu, Baoping Xiong, Nianyin Zeng, Fumin Zou, Feng Guo, Qin Bao, Fengyan Zhao

    Published 2024-01-01
    “…The gray-level of the fluorescent probe in detection image was obtained as the data set acquired by the microarray scanner at different exposure time. …”
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    Comprehensive Review of Hybrid Feature Selection Methods for Microarray-Based Cancer Detection by Azka Khoirunnisa, Didit Adytia, Mustafa Mat Deris, Adiwijaya

    Published 2025-01-01
    “…Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of genes simultaneously. …”
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    Pico-Scale Digital PCR on a Super-Hydrophilic Microarray Chip for Multi-Target Detection by Qingyue Xian, Jie Zhang, Yu Ching Wong, Yibo Gao, Qi Song, Na Xu, Weijia Wen

    Published 2025-03-01
    “…In this study, we present a super-hydrophilic microarray chip specifically designed for dPCR, featuring streamlined loading methods compatible with micro-electro-mechanical systems (MEMS) technology. …”
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  12. 12

    Automated evaluation and normalization of immunohistochemistry on tissue microarrays with a DNA microarray scanner by Wolfgang Haedicke, Helmut H. Popper, Charles R. Buck, Kurt Zatloukal

    Published 2003-07-01
    “…Importantly, double-label indirect immunofluorescence detection with the cDNA scanner demonstrates that one reference antigen can normalize tumor marker immunosignal for the cellular content of tissue microarray tissue cores. …”
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    Laboratory validation of formal concept analysis of the methylation status of microarray-detected genes in primary breast cancer by Samar K Kassim, Hanan H Shehata, Marwa M Abou-Alhussein, Maha M Sallam, Islam Ibrahim Amin

    Published 2017-05-01
    “…These results validate the methylation-based microarray analysis, thus trust their output in the future.…”
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  14. 14

    Portable Fluorescence Microarray Reader-Enabled Biomarker Panel Detection System for Point-of-Care Diagnosis of Lupus Nephritis by Aygun Teymur, Iftak Hussain, Chenling Tang, Ramesh Saxena, David Erickson, Tianfu Wu

    Published 2025-01-01
    “…This study introduces an LED-based fluorescence reader designed for POC applications, enabling multiplex detection of lupus nephritis (LN) biomarkers using a biomarker microarray (BMA) slide. …”
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    Copula-Based Bayesian Model for Detecting Differential Gene Expression by Prasansha Liyanaarachchi, N. Rao Chaganty

    Published 2025-04-01
    “…Finally, we apply our model to <i>Escherichia coli</i> microarray data, illustrating its practical utility in gene expression analysis.…”
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  17. 17

    Advancing Dermatomycosis Diagnosis: Evaluating a Microarray-Based Platform for Rapid and Accurate Fungal Detection—A Pilot Study by Vittorio Ivagnes, Elena De Carolis, Carlotta Magrì, Riccardo Torelli, Brunella Posteraro, Maurizio Sanguinetti

    Published 2025-03-01
    “…This study evaluates the EUROArray Dermatomycosis Platform, a microarray-based molecular assay, for its performance in identifying fungi causing dermatomycosis. …”
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    Comparative analysis of hybrid-SNP microarray and nanopore sequencing for detection of large-sized copy number variants in the human genome by Catarina Silva, José Ferrão, Bárbara Marques, Sónia Pedro, Hildeberto Correia, Ana Valente, António Sebastião Rodrigues, Luís Vieira

    Published 2025-07-01
    “…In this work, we used nanopore sequencing technology to sequence 2 human cell lines at low depth of coverage to call copy number variations (CNV), and compared the results variant by variant with chromosomal microarray (CMA) results. Results We analysed sequencing data using CuteSV and Sniffles2 variant callers, compared breakpoints based on hybrid-SNP microarray, nanopore sequencing and Sanger sequencing, and analysed CNV coverage. …”
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    Effects of oxidized phospholipids on gene expression in RAW 264.7 macrophages: a microarray study. by Daniel Koller, Hubert Hackl, Juliane Gertrude Bogner-Strauß, Albin Hermetter

    Published 2014-01-01
    “…In this study we present the effects of 1-palmitoyl-2-glutaroyl-sn-glycero-3-phosphocholine (PGPC) and 1-palmitoyl-2-(5-oxovaleroyl)-sn-glycero-3-phosphocholine (POVPC) on gene expression in RAW 264.7 macrophages using cDNA microarrays. …”
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