{"id":4375,"date":"2015-12-12T23:52:08","date_gmt":"2015-12-13T04:52:08","guid":{"rendered":"http:\/\/labrigger.com\/blog\/?p=4375"},"modified":"2016-01-30T09:34:58","modified_gmt":"2016-01-30T14:34:58","slug":"candle-j-for-denoising-2p-data","status":"publish","type":"post","link":"http:\/\/labrigger.com\/blog\/2015\/12\/12\/candle-j-for-denoising-2p-data\/","title":{"rendered":"CANDLE-J for denoising 2p data"},"content":{"rendered":"<p align=\"center\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/labrigger.com\/blog\/wp-content\/uploads\/2015\/12\/test1-8bit3.png\" alt=\"test1-8bit3\" width=\"921\" height=\"352\" class=\"alignnone size-full wp-image-4376\" srcset=\"http:\/\/labrigger.com\/blog\/wp-content\/uploads\/2015\/12\/test1-8bit3.png 921w, http:\/\/labrigger.com\/blog\/wp-content\/uploads\/2015\/12\/test1-8bit3-300x115.png 300w\" sizes=\"auto, (max-width: 921px) 100vw, 921px\" \/><\/p>\n<p><a href=\"https:\/\/github.com\/haiderriazkhan\/CANDLE-J\">Collaborative Approach for eNhanced Denoising under Low-light Excitation, or CANDLE,<\/a> is a denoising algorithm specialized for the type of images that are acquired in 2-photon imaging applications. There&#8217;s code for both ImageJ and MATLAB available at that link. <a href=\"http:\/\/www.bic.mni.mcgill.ca\/uploads\/ServicesSoftwareAdvancedImageProcessingTools\/candle.pdf\">Here&#8217;s a write up on it<\/a>. The raw images are on the left, and the denoised (via CANDLE) images are on the right.<\/p>\n<p align=\"center\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/labrigger.com\/blog\/wp-content\/uploads\/2015\/12\/test1-8bit4.gif\" alt=\"test1-8bit4\" width=\"800\" height=\"306\" class=\"alignnone size-full wp-image-4377\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p align=\"center\">\n<p><a href=\"https:\/\/github.com\/haiderriazkhan\/CANDLE-J\">Collaborative Approach for eNhanced Denoising under Low-light Excitation, or CANDLE,<\/a> is a denoising algorithm specialized for the type of images that are acquired in 2-photon imaging applications. There&#8217;s code for both ImageJ and MATLAB&#8230;<\/p>\n<div class=\"read-more\"><a href=\"http:\/\/labrigger.com\/blog\/2015\/12\/12\/candle-j-for-denoising-2p-data\/\">Read More<\/a><\/div><\/p>\n","protected":false},"author":1,"featured_media":4376,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[25,51,35,21,26,47],"class_list":["post-4375","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-software","tag-analysis","tag-data-acquisition","tag-fluorescence","tag-imaging","tag-matlab","tag-two-photon"],"_links":{"self":[{"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/posts\/4375","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/comments?post=4375"}],"version-history":[{"count":2,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/posts\/4375\/revisions"}],"predecessor-version":[{"id":4379,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/posts\/4375\/revisions\/4379"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/media\/4376"}],"wp:attachment":[{"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/media?parent=4375"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/categories?post=4375"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/labrigger.com\/blog\/wp-json\/wp\/v2\/tags?post=4375"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}