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}
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.