{"id":11,"date":"2015-09-14T03:00:05","date_gmt":"2015-09-14T03:00:05","guid":{"rendered":"http:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/?page_id=11"},"modified":"2015-12-01T19:48:19","modified_gmt":"2015-12-01T19:48:19","slug":"research","status":"publish","type":"page","link":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/research\/","title":{"rendered":"Research"},"content":{"rendered":"<h1>Recent Projects<\/h1>\n<table style=\"border: solid 0px\">\n<colgroup>\n<col style=\"width: 30%\" span=\"1\" \/>\n<col style=\"width: 70%\" span=\"1\" \/> <\/colgroup>\n<tbody>\n<tr bgcolor=\"#f8f8f8\">\n<td valign=\"bottom\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter  wp-image-132\" src=\"http:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/10\/biocatThumb.jpg\" alt=\"biocatThumb\" width=\"290\" height=\"215\" \/><\/td>\n<td>\n<h5>Learning-Based Image Classification Tool: BIOCAT<\/h5>\n<p>BIOCAT (BIOimage Classification and Annotation Tool) is a pattern recognition based open framework for automatic annotation and classification of 2D and 3D biological image sets and regions of interest (ROIs) in the images. It enables the comparison and selection of multi-dimensional feature descriptors and learning methods that are suitable for solving given biological image classification problems.<\/p>\n<p><strong>Link to software website:<\/strong> \u00a0<a href=\"http:\/\/faculty.cs.niu.edu\/~zhou\/tool\/biocat\/\">BIOCAT<\/a><\/p>\n<p><strong>Associated papers:<\/strong><br \/>\nZhou et al. 2013 (<a href=\"http:\/\/www.biomedcentral.com\/1471-2105\/14\/291\">http:\/\/www.biomedcentral.com\/1471-2105\/14\/291<\/a>)<br \/>\nZhou et al. 2013 (ACM BCB 2013) (<a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2506639\">http:\/\/dl.acm.org\/citation.cfm?id=2506639<\/a>)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table style=\"border: solid 0px\">\n<colgroup>\n<col style=\"width: 30%\" span=\"1\" \/>\n<col style=\"width: 70%\" span=\"1\" \/> <\/colgroup>\n<tbody>\n<tr bgcolor=\"#f8f8f8\">\n<td valign=\"bottom\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter  wp-image-136\" src=\"http:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/10\/dendriticMetricsThumb.png\" alt=\"dendriticMetricsThumb\" width=\"282\" height=\"290\" \/><\/td>\n<td>\n<h5>High-throughput Analysis of Dendritic Metrics<\/h5>\n<p>This project is based in obtaining an automatic approach to analyze and quantify dendritic characteristics important for studying neuronal function. Specifically, this approach is critical for making automated fluorescent imaging and screening high-throughput. We developed algorithms and a tool for quantifying dendritic length that is fundamental for analyzing the growth of neural networks (Neuroinformatics 2015).<\/p>\n<p><strong>Link to software website:<\/strong> <a href=\"http:\/\/faculty.cs.niu.edu\/~zhou\/tool\/dlq\/\">Dendrite Length Quantifier<\/a><\/p>\n<p><strong>Associated Paper<\/strong>:<br \/>\nNeuroinformatics 2015 (<a href=\"http:\/\/link.springer.com\/article\/10.1007%2Fs12021-015-9267-4#page-1\">http:\/\/link.springer.com\/article\/10.1007-015-9267-4#page-1<\/a>)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table style=\"border: solid 0px\">\n<colgroup>\n<col style=\"width: 30%\" span=\"1\" \/>\n<col style=\"width: 70%\" span=\"1\" \/> <\/colgroup>\n<tbody>\n<tr bgcolor=\"#f8f8f8\">\n<td valign=\"bottom\">\u00a0<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter  wp-image-162\" src=\"http:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/10\/multiclassLearningThumb.png\" alt=\"multiclassLearningThumb\" width=\"282\" height=\"217\" \/><\/td>\n<td>\n<h5>Automated Analysis of High-Dimensional Neuronal Images and Recordings<\/h5>\n<ul>\n<li style=\"text-align: left\"><strong>\u00a0Automatic quantification of 3D Axonal Terminal Topography<\/strong><br \/>\nWe develop 3-dimensional (3D) analysis methods to analyze the molecular mechanisms underlying the spatial arrangements of adjacent sensory terminals (i.e., fine-scale topography) of <em>Drosophila<\/em> neurons (Yang et al. Current Biology, 2014)<\/li>\n<li style=\"text-align: left\"><strong>\u00a0Automatic Analysis of Synaptic Distribution in High-dimensional Complex Neuronal Images<\/strong><br \/>\nWe employ a novel learning-guided system for counting synaptic markers in 3D confocal neuronal images in Drosophila Iobula plate tangential cells (Sanders et al. BMC Bioinformatics, 2015).<\/li>\n<li style=\"text-align: left\"><strong>Dynamic Neuronal Activity and Behavior Analysis<\/strong><br \/>\nWe investigate algorithms to analyze whole brain neuronal activity patterns.<\/li>\n<\/ul>\n<p><strong>Associated Papers<\/strong>:<br \/>\nSanders et al. BMC Bioinformatics, 2015 (<a href=\"http:\/\/www.biomedcentral.com\/1471-2105\/16\/177\">http:\/\/www.biomedcentral.com\/1471-2105\/16\/177<\/a>)<\/p>\n<p>Yang et al. Current Biology, 2014 (<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0960982214003339\">http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0960982214003339)<\/a><\/p>\n<p>&nbsp;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table style=\"border: solid 0px\">\n<colgroup>\n<col style=\"width: 30%\" span=\"1\" \/>\n<col style=\"width: 70%\" span=\"1\" \/> <\/colgroup>\n<tbody>\n<tr bgcolor=\"#f8f8f8\">\n<td valign=\"bottom\"><a href=\"http:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-79\" src=\"http:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix-300x82.jpg\" alt=\"ecoc_matrix\" width=\"289\" height=\"79\" srcset=\"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix-300x82.jpg 300w, https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix-1024x281.jpg 1024w, https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix-100x27.jpg 100w, https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix-150x41.jpg 150w, https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix-200x55.jpg 200w, https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix-450x124.jpg 450w, https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix-600x165.jpg 600w, https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix-900x247.jpg 900w, https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-content\/uploads\/sites\/4\/2015\/09\/ecoc_matrix.jpg 1135w\" sizes=\"auto, (max-width: 289px) 100vw, 289px\" \/><\/a><\/td>\n<td>\n<h5>Multi-Class Learning and Classification<\/h5>\n<p>We study machine learning algorithms that can effectively decompose a multi-class problem (Pattern Recognition 2008, IEEE DSAA&#8217;2015).<\/p>\n<div class=\"right\"><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recent Projects Learning-Based Image Classification Tool: BIOCAT BIOCAT (BIOimage Classification and Annotation Tool) is a pattern recognition based open framework for automatic annotation and classification of 2D and 3D biological image sets and regions of interest (ROIs) in the images.<span class=\"ellipsis\">&hellip;<\/span><\/p>\n<div class=\"read-more\"><a href=\"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/research\/\">Read more &#8250;<\/a><\/div>\n<p><!-- end of .read-more --><\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"full-width-page.php","meta":{"footnotes":""},"class_list":["post-11","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-json\/wp\/v2\/pages\/11","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-json\/wp\/v2\/comments?post=11"}],"version-history":[{"count":11,"href":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-json\/wp\/v2\/pages\/11\/revisions"}],"predecessor-version":[{"id":82,"href":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-json\/wp\/v2\/pages\/11\/revisions\/82"}],"wp:attachment":[{"href":"https:\/\/babbage.cs.niu.edu\/niucswp\/ilaal\/wp-json\/wp\/v2\/media?parent=11"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}