The Image Learning and Analytics Lab studies learning-based algorithms and tools to analyze, recognize, and quantify images. One major focus of the lab is automated analysis of high-dimensional high-throughput biological images such as the algorithms for analyzing cellular and subcellular objects in microscopic neuronal images and recordings. It is also our mission to provide open, effective, and user-friendly tools for the scientific community in order to meet the ever-increasing demand of complex and high content image data.
- Congrats to Randall Suvanto, Alex Ekstrom and other co-authors for the NIH 2016 paper on automatic neuron counting!
- Congrats to Jon Sanders’ successful defense! (Jun 2016)
- Road trip! ILAAL lab travels to Kalamazoo, MI, for a joint research meeting/retreat with collaborator Ye lab of University of Michigan. (Apr 2016) photo
- The paper on Automatic Dendrite Length Quantification for High Throughput Screening of Mature Neurons has been accepted by Nueroinformatics! Congratulations to Tim, Venkat and all of the co-authors!! (Spring 2015)
- We would like to welcome Joseph Steinke to the team! (Fall 2014)
- Venkat Pasupuleti is traveling to Long Beach, CA, to present his research results! (Sept 2014)
- Congratulations to Tim Smafield on his successful defense! (June 2014)
- A collaborative paper on Drosophila topography has been accepted by Current Biology. Our team is responsible for fine-scale 3D quantification. (Spring 2014)
- We are happy to welcome Shawn Horvatic to the team! (Spring 2014)
- Road Trip! The team is travelling to the University of Michigan to observe imaging experiments. (Dec 2013)
- Dr. Jie Zhou attends ACM BCB 2013 presenting “Performance Model Selection for Learning-Based Biological Image Analysis on a Cluster.”
- Venkat Pasupuleti has joined the team (supported by NIH).
- The paper “BIOCAT: A Pattern Recognition Platform for Customizable Biological Image Classification and Annotation” has been accepted by BMC Bioinformatics.
- Dr. Jie Zhou has been awarded the NIH/NIMH R15 MH099569 as the principal investigator for Automatic 3D Quantification of Synapse Distribution in Complex Dendritic Arbor.
- Timothy Smafield has joined the team (supported by Great Journeys Assistantship).
- Eric Swatkowski joins the team (supported by LA&S URAP).
- Jonathan Sanders has joined the team (supported by LA&S URAP and the Office of Student Engagement of Experiential Learning).
Jie Zhou, Ph.D
Department of Computer Science
Northern Illinois University