Live-Cell Imaging and Automation of Image Analysis
 
Dr. Martin WASSER
Principal Investigator

Details
 
 
Group Members
 
NameTitle
Dr. WASSER MartinPrincipal Investigator
Dr. CHINTA RambabuPostdoctoral Fellow
Ms. PUAH Wee ChooResearch Officer
Mr. NG Wee ThongSoftware Engineer
 
Research Overview

Technological advances in microscopic instrumentation and fluorescent labeling of proteins in vivo grant entirely novel insights into living cells and tissues. While better microscopes permit the acquisition of 3D time-lapse at movies increasing spatial and temporal resolution, the variety of fluorophores allows the monitoring of multiple biological processes in parallel. The explosion of data associated multi-dimensional imaging (Single time-lapse recordings can produce data in the triple-digit gigabyte range) pose novel computational challenges, both on the hardware and software side.

The group is interested in studying animal development using 3D time-lapse microscopy and computer vision. Their principal goals are to develop protocols for live-cell imaging and software tools for the automated analysis high content microscopy data. The group's computational pipeline comprises preprocessing, segmentation, feature extraction and classification . Their system is currently directed at the phenotypic characterization of two biological processes in the model system Drosophila melanogaster; (1) Cell cycle progression of embryonic cells and (2) apoptosis and remodeling of muscle cells during metamorphosis
 

Image Analysis Software for Microscopy

3D Nuclear Segmentation

The 3D nuclear segmentation software detects interphase nuclei and mitotic chromosomes in image stacks acquired by confocal microscopy. The software runs on any Windows platform and accepts ICS files as inputs.

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TLM-Converter : Image data reorganization for time-lapse microscopy

The TLM-Converter fragments or concatenates multi-dimensional images to facilitate downstream image quantification and visualization. The software accepts various image formats and runs on the Windows platform.

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