PROBLEM TO BE SOLVED: To provide a specific organism component detecting method that is capable of stably detecting microbes or viruses in a sample with high precision.SOLUTION: A multiple regression expression is determined for the whole color space data of specific pixels reflecting a specific fluorescence reaction 81 that specific microbes or viruses generate at excitation. Next, plural types of excitation digital images D1, D2, and D3 when a sample is irradiated with excitation light X are taken under the same condition as the condition under which the multiple regression expression has been determined (S1 to S6). Further, color space data is determined on a pixel-to-pixel basis for each of the excitation digital images D1, D2, and D3, and a detection degree Y on a pixel-to-pixel basis is determined by substituting the whole color space data of each pixel unit located at the same position in the excitation digital images D1, D2, and D3 into the multiple regression expression (S7 and S8). Moreover, the specific fluorescence reaction 81 in the sample 8 is detected based on the detection degree Y of each pixel unit (S9 to S13).COPYRIGHT: (C)2013,JPO&INPIT【課題】試料中における特定の微生物又はウイルスを、高い検出精度で安定して検出することができる特定生物成分検出方法を提供すること。【解決手段】特定の微生物又はウイルスが励起時に発生する特定蛍光反応8を映した特定画素の色空間データの全体について重回帰式を設定する。次いで、重回帰式を求めた際と同じ条件で、試料に励起光Xを照射したときの複数種類の励起時デジタル画像D1,D2,D3を撮影する(S1~S6)。次に、励起時デジタル画像D1,D2,D3について、それぞれ1つの画素単位ごとの色空間データを求め、励起時デジタル画像D1,D2,D3の同じ位置にある各画素単位の色空間データの全体を、重回帰式に代入して、画素単位ごとの検出度Yを求める(S7及びS8)。そして、画素単位ごとの検出度Yに基づいて、試料8中における特定蛍光反応81を検出する(S9~S13)。【選択図】図6
