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Picking particles faster than one at a time

cles or less -- better than those using tens of thousands of particles -- provided the picks are good enough," Adiga says. "'Good enough' is a completely qualitative term, unfortunately, but if we can define it so that image-processing software makes only the best choices, we will have a powerful new tools for biology."

Adiga says, "Particle-picking algorithms are a small part of a larger goal of mapping the healthy constituents of cells against diseased cells, from cellular organelles right down to interactions among atoms in a protein." Together with work initiated by Adiga and his colleagues in confocal image analysis, electron microscopy of cell sections, and electron tomographic image analysis, he says that being able to model the whole range of morphological and functional changes in cellular constituents, from the microscale (millionths of a meter) to the nanoscale (billionths of a meter), comes ever closer to reality.


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Source:DOE/Lawrence Berkeley National Laboratory


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