- Detailed recognition of small complexes and organells (such as mRNA complex, Mitochondria, Peroxizome etc.)
- Yeast cells segmentation using label free or fluorescently tagged cells
- Measurement may be conducted under live cell conditions or in fixed samples
This colocalization application is aimed for detection of colocalization and proximity events in yeast. The analysis applies the approach of identifying objects and determining the distance separating them. The distance between two labeled organelles within a single yeast cell is measured.
Yeast is a popular model organism for various biological studies, being a simple eukaryotic organism, easy to manipulate, able to cope with a wide range of environmental conditions and controls cell division similarly to human cells. Automatic single cell recognition of yeast cells is implemented in this application to allow for accurate studies of per-cell colocalization events.
Quantifying the localization of proteins, RNAs and complexes within cells can help determine their regulation and sites of action. mRNA and protein transport and localization has a key determinant of whether cells establish sub-cellular domains necessary for different activities, confer the molecular interactions required for protein function, and create functional organelles. Quantifying the distance between the trafficking object and the nearest intracellular organelles is therefore an important tool in exploring and understanding these important cellular mechanisms.
Yeast cells labeled for Mitochondria (red) and mRNA (green) imaged using 40x/0.9 NA objective
Analysis of yeast cells (blue outline), mitochondria (red outline), mRNA complex (green outline) and colocalized events (cell marked using orange outline) are shown.