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Computational Biology

High numerical aperture cryogenic localization microscopy: a technique for increased precision of super-resolution reconstructions

The precision of localization-based super-resolution microscopy techniques fundamentally relies on the point-spread function of the optical system and the number of photons one can collect. Here, we report that by using a high-numerical aperture objective lens and a custom cryogenic stage, we are able to increase photon yield by 2-3 fold over room temperature, thereby achieving more precise super-resolution reconstructions of complex subcellular structures.

Navigating from vision to change with Bio-MAPS

There have been several national calls to revise undergraduate biology education to focus primarily on core concepts and skills as opposed to topics.  Many departments have been moving toward this goal, but have lacked a means to measure their progress.  We have developed, validated and field-tested a programmatic-level assessment called BioMAPS (for Biology-Measuring Achievement and Progress in Science) that is aligned with the core concepts outlined by the American Association for the Advancement of Science (AAAS) report Vision and Change.


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