As we continue to monitor Coronavirus (COVID-19) developments closely, the health and well-being of our team, customers, and their employees is of utmost importance to us.
As a trusted vendor, we understand the imperative of limiting the impact this situation could have on our services. We are keenly focused on maintaining a safe work environment for our team while ensuring continuous service.
We have a robust integrated Business Resiliency Program in place and are committed to keeping our operations running smoothly.
This Plan includes:
Minimizing supply chain disruptions through constant communications with our production facilities and logistics partners
Maintaining larger stock levels of products at our distribution facility
Prioritizing orders being shipped based on the order in which they were received
Enabling work from home capabilities for our sales and support staff
Providing our team members with information and best practices to prevent the spread of any illness
Coordinating communications with our team, associates, customers and partners
Limiting all non-essential business travel
In the short term, you might experience a slightly longer than anticipated lead time for fulfilment of some the orders. Please be assured, we are taking every measure to ensure minimal disruptions or delays and continue to monitor this fluid situation on a daily basis.
Thank you for your business, and your continued support.
Stochastic Optical Reconstruction Microscopy (STORM) Stochastic Optical Reconstruction Microscopy, STORM, is one of a family of super-resolution Single Molecule Localization Microscopies (SMLM) for the visualization of biological systems with an optical resolution measured in the tens of nanometers (nm) in the x, y, and z directions, pioneered in the laboratory of Xiaowei Zhuang at Harvard University.
STORM and other SMLMs are conceptually similar techniques: the photochemical properties of the fluorophore are exploited to induce a weakly emissive or non-emissive "dark" state. From the dark state, very small populations of (ideally) fluorophore are returned to an emissive state, excited, and detected. However, in order to be identified, emission profile must exhibit minimal overlap in each image. The centroid position of each identified molecule is statistically fitted, most often to a Gaussian function, and with a level of precision scaling with the number of detected photons. By imaging and fitting single emitters to a sub-diffraction limited area over many thousands of single images, eventually the user will have enough data to create a composite reconstruction of all identified emitters.