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MLHRM 2018 : Workshop on Machine Learning Approaches in High Resolution Microscopy Imaging

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Link: http://www.mlhrm.net
 
When Dec 3, 2018 - Dec 6, 2018
Where Madrid, Spain
Submission Deadline Oct 5, 2018
Final Version Due Nov 3, 2018
Categories    machine learning   microscopy imaging   image analysis   electron microscopy
 

Call For Papers

WORKSHOP ON MACHINE LEARNING APPROACHES IN HIGH RESOLUTION MICROSCOPY IMAGING
MLHRM 2018

In conjunction with

2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM18)
Dec 3-6, 2018, Madrid, Spain
http://orienta.ugr.es/bibm2018/

(Deadline extended)

Description:

With the advent of higher resolution imaging modalities, such as electron microscopy (Cryo-EM, FIB-SEM) and fluorescence superresolution microscopy (SRM), scientists are able to discern subcellular structures at the molecular level leading to discoveries in basic and translational sciences as well as applications in drug discovery and precision medicine. Visualizing cellular, sub-cellular, and protein structures have been recently recognized with Nobel Prizes in Chemistry, for super-resolution fluorescence microscopy in 2014 and for cryo-electron microscopy in 2017. SRM imaging achieves nanometer resolution while cryo-EM allows imaging of structures in their native, frozen, hydrated state by resolving structural details of 1.5 Angstrom. These imaging modalities as well as many others rely on performant computational techniques to reconstruct high resolution images in 2D and 3D for visualization and further quantitative analysis. Advances in machine learning, particularly in deep learning, has a great potential to contribute to high resolution reconstruction process, particularly by improving particle detection and classification steps of reconstruction.

This workshop aims to bring the researchers from computational and imaging fields together to focus on the computational approaches for construction and analysis in high resolution imaging modalities. Special emphasis will be on the applications of deep learning and other machine learning methods in imaging modalities such as cryo-electron microscopy, FIB-SEM tomography, and fluorescence superresolution microscopy.


Topics:

Original contributions in applications of deep learning and other machine learning methods in high resolution microscopy including but not limited to noise reduction, detection, segmentation, classification, and reconstruction of 2D and 3D models, as well as new approaches in 3D reconstruction of single molecules are welcome. Contributions regarding other related modalities and automated analysis methods such as single molecule tracking, multiphoton imaging, and combining EM with STORM/PALM will also be considered for inclusion in the workshop program.

*Noise reduction in EM modalities and SRM
*Signal detection and image reconstruction in SRM
*Image segmentation in EM modalities
*Image classification in EM modalities and SRM
*3D reconstruction methods and pipelines in cryo-EM
*Characterization of single molecule structure using machine learning approaches
*Applications of high resolution microscopy in precision medicine
*Applications in single molecule tracking, multiphoton imaging


Paper Submission:

Please submit a full-length original and unpublished research contribution (up to 6 pages in IEEE 2-column format) through the online submission system (you can download the format instruction here (http://www.ieee.org/conferences_events/conferences/publishing/templates.html). Electronic submissions in PDF are required. Selected participants will be asked to submit their revised papers in a format to be specified at the time of acceptance. All papers will be published in conference proceedings and indexed by IEEE Xplore. Workshop organizers may select a small number of workshop papers to be extended and published in a journal.

Online Submission: https://wi-lab.com/cyberchair/2018/bibm18/index.php

Important Dates:

Electronic submission of full workshop papers: Oct 05, 2018
Notification of paper acceptance to authors: Oct 22, 2018
Camera-ready version of accepted papers: Nov 3, 2018
Workshop and Conference: Dec 3-6, 2018


Workshop Chairs:

*Dr. Filiz Bunyak, Department of Electrical Engineering and Computer Science, University of Missouri, USA.
*Dr. Ilker Ersoy, Informatics Institute, Department of Pathology and Anatomical Sciences, University of Missouri, USA.
*Dr. Tommi White, Electron Microscopy Core, Department of Biochemistry, University of Missouri, USA.

Workshop Program Committee Members:

*Dr. Joseph Brzostowski, NIAID Twinbrook Imaging Facility, National Institutes of Health, USA.
*Dr. Yuejie Chi, Department of Electrical and Computer Engineering, Carnegie Mellon University, USA.
*Dr. Stefan Jaeger, National Library of Medicine Lister Hill National Center for Biomedical Communications, National Institutes of Health, USA.
*Dr. Rengarajan Pelapur, Thermo Fisher Scientific, USA.
*Dr. Surya Prasath, Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, USA.
*Dr. Satoshi Sawai, Research Center for Complex Systems Biology, University of Tokyo, Japan.
*Dr. Mingzhai Sun, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China.
*Dr. Devrim Unay, Department of Biomedical Engineering, Izmir University of Economics, Turkey.

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