用于孔板高通量抗氧化能力测定的RGB简单比色检测工具

Benjamas Panyangam, Papangkorn Inkeaw, Jeerayut Chaijaruwanich, Nathida Chamklan, J. Jakmunee
{"title":"用于孔板高通量抗氧化能力测定的RGB简单比色检测工具","authors":"Benjamas Panyangam, Papangkorn Inkeaw, Jeerayut Chaijaruwanich, Nathida Chamklan, J. Jakmunee","doi":"10.1109/JCSSE.2018.8457334","DOIUrl":null,"url":null,"abstract":"High throughput screening (HTS) assays is routinely used in basic biochemical, cell biology and drug discovery research. A system called Simple Colorimetric Detection (SCD) for HST of antioxidant capacity was presented. It performs on colorimetric method that uses observable colors of chemical reaction to estimate the antioxidant concentration. Previously, manual detecting the color intensity by using an image editor tool was used. It takes a lot of time and workforce. In this work, we proposes an automatic color measuring method for the SCD system. The proposed method consists of four steps. It obtains a color image of well plate as an input image. In the first step, region of well plate is d etermined. Next, we apply an edge detection and morphological techniques to obtain all objects on the well plate in the second step. The obtaining objects on the well plate are classified into spot or non-spot. The radius and eccentricity of each object are used for this purpose. In the third step, all spot locations are estimated by using the information of detected spots. Finally, color intensities of each spot is measured. The experimental results show that the proposed method perfectly detected all spots on well plate images generated from the SCD instrument. Moreover, it performed well in measuring color intensity values with acceptable precision. We additionally demonstrated how it works in practical with real dataset obtained from the SCD system.","PeriodicalId":338973,"journal":{"name":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RGB Color Measuringc Tool Of Simple Colorimetric Detection For High Throughput Antioxidant Capacity Assay On Well Plate\",\"authors\":\"Benjamas Panyangam, Papangkorn Inkeaw, Jeerayut Chaijaruwanich, Nathida Chamklan, J. Jakmunee\",\"doi\":\"10.1109/JCSSE.2018.8457334\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High throughput screening (HTS) assays is routinely used in basic biochemical, cell biology and drug discovery research. A system called Simple Colorimetric Detection (SCD) for HST of antioxidant capacity was presented. It performs on colorimetric method that uses observable colors of chemical reaction to estimate the antioxidant concentration. Previously, manual detecting the color intensity by using an image editor tool was used. It takes a lot of time and workforce. In this work, we proposes an automatic color measuring method for the SCD system. The proposed method consists of four steps. It obtains a color image of well plate as an input image. In the first step, region of well plate is d etermined. Next, we apply an edge detection and morphological techniques to obtain all objects on the well plate in the second step. The obtaining objects on the well plate are classified into spot or non-spot. The radius and eccentricity of each object are used for this purpose. In the third step, all spot locations are estimated by using the information of detected spots. Finally, color intensities of each spot is measured. The experimental results show that the proposed method perfectly detected all spots on well plate images generated from the SCD instrument. Moreover, it performed well in measuring color intensity values with acceptable precision. We additionally demonstrated how it works in practical with real dataset obtained from the SCD system.\",\"PeriodicalId\":338973,\"journal\":{\"name\":\"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCSSE.2018.8457334\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCSSE.2018.8457334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

高通量筛选(HTS)检测在基础生物化学、细胞生物学和药物发现研究中经常使用。提出了一种简单比色法检测HST抗氧化能力的方法。采用比色法,利用化学反应中可观察到的颜色来估计抗氧化剂的浓度。以前,使用图像编辑工具手动检测颜色强度。这需要大量的时间和人力。本文提出了一种适用于SCD系统的自动测色方法。该方法分为四个步骤。得到孔板的彩色图像作为输入图像。第一步,确定井板区域。接下来,我们在第二步中应用边缘检测和形态学技术来获得孔板上的所有物体。将井板上的获取对象分为斑点和非斑点。每个物体的半径和离心率都用于此目的。第三步,利用检测到的斑点信息估计所有斑点的位置。最后,测量每个斑点的颜色强度。实验结果表明,该方法能较好地检测出SCD仪器生成的孔板图像上的所有斑点。此外,它在测量色彩强度值方面表现良好,精度可接受。我们还用从SCD系统获得的真实数据集演示了它在实际中的工作原理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RGB Color Measuringc Tool Of Simple Colorimetric Detection For High Throughput Antioxidant Capacity Assay On Well Plate
High throughput screening (HTS) assays is routinely used in basic biochemical, cell biology and drug discovery research. A system called Simple Colorimetric Detection (SCD) for HST of antioxidant capacity was presented. It performs on colorimetric method that uses observable colors of chemical reaction to estimate the antioxidant concentration. Previously, manual detecting the color intensity by using an image editor tool was used. It takes a lot of time and workforce. In this work, we proposes an automatic color measuring method for the SCD system. The proposed method consists of four steps. It obtains a color image of well plate as an input image. In the first step, region of well plate is d etermined. Next, we apply an edge detection and morphological techniques to obtain all objects on the well plate in the second step. The obtaining objects on the well plate are classified into spot or non-spot. The radius and eccentricity of each object are used for this purpose. In the third step, all spot locations are estimated by using the information of detected spots. Finally, color intensities of each spot is measured. The experimental results show that the proposed method perfectly detected all spots on well plate images generated from the SCD instrument. Moreover, it performed well in measuring color intensity values with acceptable precision. We additionally demonstrated how it works in practical with real dataset obtained from the SCD system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信