PROTEIN EXPRESSION LEVEL ESTIMATION METHOD, ESTIMATION SYSTEM AND ESTIMATION DEVICE
To provide a method for estimating an expression level of protein in cells from non-fluorescent dyed images of the cells.SOLUTION: A protein expression level estimation method has a process of estimating an expression level of specific protein in each cell from non-fluorescent dyed images of cells,...
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creator | TOUGASAKI TAKESHI KOZAI SHOHEI YAMAKAWA (TOYAMA) ARISA |
description | To provide a method for estimating an expression level of protein in cells from non-fluorescent dyed images of the cells.SOLUTION: A protein expression level estimation method has a process of estimating an expression level of specific protein in each cell from non-fluorescent dyed images of cells, using a machine learning model machine-learnt with, as training data, an image in which a brightness value of a background outside a cell area is set to zero in a plurality of non-fluorescent dyed images of cells for learning, and a single cell brightness average image obtained by image-processing a fluorescent dyed image of the specific protein in the same area as the non-fluorescent dyed images of the cells for learning.SELECTED DRAWING: Figure 4
【課題】細胞におけるタンパク質の発現量を、細胞の非蛍光染色像から推定する方法を提供すること。【解決手段】複数枚の学習用細胞非蛍光染色像において細胞領域外の背景の輝度値をゼロとした画像と、前記学習用細胞非蛍光染色像と同一の領域における特定タンパク質の蛍光染色像を画像処理して得られる1細胞輝度平均像とを教師データとして機械学習させた機械学習モデルを用いて、細胞の非蛍光染色像から各細胞における特定タンパク質の発現量を推定する工程、を有することを特徴とするタンパク発現量推定方法。【選択図】図4 |
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【課題】細胞におけるタンパク質の発現量を、細胞の非蛍光染色像から推定する方法を提供すること。【解決手段】複数枚の学習用細胞非蛍光染色像において細胞領域外の背景の輝度値をゼロとした画像と、前記学習用細胞非蛍光染色像と同一の領域における特定タンパク質の蛍光染色像を画像処理して得られる1細胞輝度平均像とを教師データとして機械学習させた機械学習モデルを用いて、細胞の非蛍光染色像から各細胞における特定タンパク質の発現量を推定する工程、を有することを特徴とするタンパク発現量推定方法。【選択図】図4</description><language>eng ; jpn</language><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; PHYSICS ; TESTING</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240226&DB=EPODOC&CC=JP&NR=2024025663A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76419</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240226&DB=EPODOC&CC=JP&NR=2024025663A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>TOUGASAKI TAKESHI</creatorcontrib><creatorcontrib>KOZAI SHOHEI</creatorcontrib><creatorcontrib>YAMAKAWA (TOYAMA) ARISA</creatorcontrib><title>PROTEIN EXPRESSION LEVEL ESTIMATION METHOD, ESTIMATION SYSTEM AND ESTIMATION DEVICE</title><description>To provide a method for estimating an expression level of protein in cells from non-fluorescent dyed images of the cells.SOLUTION: A protein expression level estimation method has a process of estimating an expression level of specific protein in each cell from non-fluorescent dyed images of cells, using a machine learning model machine-learnt with, as training data, an image in which a brightness value of a background outside a cell area is set to zero in a plurality of non-fluorescent dyed images of cells for learning, and a single cell brightness average image obtained by image-processing a fluorescent dyed image of the specific protein in the same area as the non-fluorescent dyed images of the cells for learning.SELECTED DRAWING: Figure 4
【課題】細胞におけるタンパク質の発現量を、細胞の非蛍光染色像から推定する方法を提供すること。【解決手段】複数枚の学習用細胞非蛍光染色像において細胞領域外の背景の輝度値をゼロとした画像と、前記学習用細胞非蛍光染色像と同一の領域における特定タンパク質の蛍光染色像を画像処理して得られる1細胞輝度平均像とを教師データとして機械学習させた機械学習モデルを用いて、細胞の非蛍光染色像から各細胞における特定タンパク質の発現量を推定する工程、を有することを特徴とするタンパク発現量推定方法。【選択図】図4</description><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZAgOCPIPcfX0U3CNCAhyDQ729PdT8HENc_VRcA0O8fR1DAEJ-LqGePi76CALBUcGh7j6Kjj6uSCLuriGeTq78jCwpiXmFKfyQmluBiU31xBnD93Ugvz41OKCxOTUvNSSeK8AIwMjEwMjUzMzY0djohQBAKQoML8</recordid><startdate>20240226</startdate><enddate>20240226</enddate><creator>TOUGASAKI TAKESHI</creator><creator>KOZAI SHOHEI</creator><creator>YAMAKAWA (TOYAMA) ARISA</creator><scope>EVB</scope></search><sort><creationdate>20240226</creationdate><title>PROTEIN EXPRESSION LEVEL ESTIMATION METHOD, ESTIMATION SYSTEM AND ESTIMATION DEVICE</title><author>TOUGASAKI TAKESHI ; KOZAI SHOHEI ; YAMAKAWA (TOYAMA) ARISA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2024025663A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2024</creationdate><topic>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>TOUGASAKI TAKESHI</creatorcontrib><creatorcontrib>KOZAI SHOHEI</creatorcontrib><creatorcontrib>YAMAKAWA (TOYAMA) ARISA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>TOUGASAKI TAKESHI</au><au>KOZAI SHOHEI</au><au>YAMAKAWA (TOYAMA) ARISA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>PROTEIN EXPRESSION LEVEL ESTIMATION METHOD, ESTIMATION SYSTEM AND ESTIMATION DEVICE</title><date>2024-02-26</date><risdate>2024</risdate><abstract>To provide a method for estimating an expression level of protein in cells from non-fluorescent dyed images of the cells.SOLUTION: A protein expression level estimation method has a process of estimating an expression level of specific protein in each cell from non-fluorescent dyed images of cells, using a machine learning model machine-learnt with, as training data, an image in which a brightness value of a background outside a cell area is set to zero in a plurality of non-fluorescent dyed images of cells for learning, and a single cell brightness average image obtained by image-processing a fluorescent dyed image of the specific protein in the same area as the non-fluorescent dyed images of the cells for learning.SELECTED DRAWING: Figure 4
【課題】細胞におけるタンパク質の発現量を、細胞の非蛍光染色像から推定する方法を提供すること。【解決手段】複数枚の学習用細胞非蛍光染色像において細胞領域外の背景の輝度値をゼロとした画像と、前記学習用細胞非蛍光染色像と同一の領域における特定タンパク質の蛍光染色像を画像処理して得られる1細胞輝度平均像とを教師データとして機械学習させた機械学習モデルを用いて、細胞の非蛍光染色像から各細胞における特定タンパク質の発現量を推定する工程、を有することを特徴とするタンパク発現量推定方法。【選択図】図4</abstract><oa>free_for_read</oa></addata></record> |
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subjects | INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS TESTING |
title | PROTEIN EXPRESSION LEVEL ESTIMATION METHOD, ESTIMATION SYSTEM AND ESTIMATION DEVICE |
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