{"id":5455,"date":"2020-02-04T15:33:35","date_gmt":"2020-02-04T15:33:35","guid":{"rendered":"https:\/\/www.blopig.com\/blog\/?p=5455"},"modified":"2020-02-04T15:51:07","modified_gmt":"2020-02-04T15:51:07","slug":"cooking-up-a-deepstorm-with-a-little-cup-of-super-resolution-microscopy","status":"publish","type":"post","link":"https:\/\/www.blopig.com\/blog\/2020\/02\/cooking-up-a-deepstorm-with-a-little-cup-of-super-resolution-microscopy\/","title":{"rendered":"Cooking Up a (Deep)STORM with a Little Cup of Super Resolution Microscopy"},"content":{"rendered":"\n

Recently, I attended the Quantitative BioImaging (QBI) Conference 2020, served right here in Oxford. Amongst the many methods on the menu were new recipes for spicing up your Cryo-EM images with a bit of CiNNamon<\/a> with a peppering of Poisson point processes in the inhomogeneous spatial case<\/a> amongst many others<\/a>. However, like many of today’s top tier restaurants most of the courses on offer were on the smaller side, nano-scale in fact, serving up the new field of Super Resolution Microscopy!<\/p>\n\n\n\n\n\n\n\n

Like buying your phyllo pastry from the shops instead of making it yourself, Super Resolution Microscopy is a bit of a cheat. The diffraction limit of light<\/a> is a universal bound on the resolution of an image in any optical system (usually 200-600nm depending on wavelength). However using photoswitching, the property of certain fluorescent bound compounds to turn on-and-off when activated with light, imaging systems can squeeze more information out of a scene by capturing multiple images. Images are combined to produce a distribution over bound locations and, like a masterful meringue, the “peaks” formed in these distributions provide a higher degree of location certainty and thus a higher resolution image (as high as 20nm!). <\/p>\n\n\n\n

Techniques such as STORM and PALM were some of the earliest super resolution techniques to be cooked up, however new Bayesian and Machine Learning techniques, such as DeepSTORM and DeepSTORM3D<\/a>, seek to get all of the zest out of the these multilayer image data sets. To see what’s a boilin’ in the Super Resolution world, sit back, grab a cuppa and join Nobel Prize winner Eric Betzig, as he explores real time imaging techniques in a field brimming with possibilities.<\/p>\n\n\n\n

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