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by gone35
4334 days ago
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Indeed it won't. Microscopy is hardly the bottleneck in hematology; and neither is cell counting, which is already carried on by automated analyzers for the most part anyway [1,2]. The problem is the need of differential staining: due to fundamental physical limits, no amount of machine learning can ever distinguish key hematocytes like lymphocytes from granulocytes in raw, unstained samples from microphotographs alone. So unless you use spectroscopy --and there's been some work done on that, eg [3,4]--, you need to spread, fix and stain your sample, each of which take a series of choreographed steps, reagents and considerable skill in controlled conditions to get (minimally) right [5] --hence the need for a lab. So unless they attached a USB microspectrometer to the iPod, or streamlined the existing sample preparation process in a low-cost, fully-portable form; they are just solving the wrong problem. [1] http://www.mlo-online.com/articles/201401/automation-in-hema... [2] http://www.ncbi.nlm.nih.gov/pubmed/18550479 [3] http://www.opticsinfobase.org/abstract.cfm?uri=FiO-2008-FWD5 [4] http://cancerres.aacrjournals.org/cgi/content/meeting_abstra... [5] http://mmserver.cjp.com/gems/blood/lh.6.1.houwen.pdf |
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Still, a lot of smart money says the smartphone-pic-to-clinician thing could have a big impact. See Foldscope, for example, which takes this idea to the next level: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjourna...
By the way, nice to see a Raman shout-out! Here's a slightly newer Raman paper with some nice pictures (compulsory open-access for the win): http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3806096/