Details

Project TitleA More Efficient and Economical Technique for Microscopy Image Acquisition
Track Code2015-143
Short Description

A strategy to capture highly accurate microscopy images in a time- and cost-efficient manner

#software #analysis #application

Abstract

Northwestern researchers have developed a new technology, using a combination of hardware and software, to construct microscopic images more efficiently based on incomplete signal data.  They propose a method that can reconstruct and “de-noise” images without being plagued by typical time- and dosage-dependent signal damage.  In some microscopy cases, it is not feasible or practical to capture or image all the data from a one-dimensional signal, two-dimensional image, or three-dimensional structure. However, there is a need to use an incomplete data set to produce a complete representation while maintaining a high a degree of accuracy and minimizing the need for extensive modification of the detection/sampling equipment.  Northwestern researchers have developed this new strategy which is comprised of the several components: 1) a signal source, 2) a machine-learning algorithm to statistically fill in missing information, and 3) a custom-written graphical user interface (GUI)-equipped computer program. 

 
TagsSOFTWARE: analysis, SOFTWARE: application
 
Posted DateOct 10, 2016 12:59 PM

Inventor(s)

Vinayak Dravid*

Benjamin Myers

Karl Hujsak

Applications

  • Image reconstruction in various types of microscopy:
    • Fluorescent microscopy (confocal, 2-photon)
    • Electron Microscopy
    • Atomic force Microscopy

Advantages

  • Economical
  • Time-saving signal acquisition
  • No need for scanning hardware
  • Easy translatable use for image reconstruction in other (non-EM) types of microscopy

Publications

IP Status

Provisional patent application has been filed.

Marketing Contact

Arjan Quist, PhD

Invention Manager

(p) 847-467-0305

(e) arjan.quist@northwestern.edu