Talking about field based technologies last month, I took opportunity to attend an insightful event hosted by IET Southern California where Neven Karlovac of Cellmic LLC spoke about the changes now seen in medical field based technologies, specifically around using smart devices as field based medical apparatus.
Cellmic have created a simple smartphone attachable device that uses holographic lenses and computer algorithms to analyse medical samples in the field, whether its pandemics, food sampling, or mobile medical vehicles. The smart medical device is already being used in the field, and provides a very innovative use of transistor count on an IC chip Vs pixel rates of smart phones.
The sample is placed on a digital sensor into which, through a pin hole, a LED light is sent. This creates a spatially filtered pattern onto which the smart app applies an algorithm to reconstruct a microscopic image. The image is then further processed for pixel and filter noise. With high level of processing rates these smart devices work in the field to produce the same results as traditional lab based equipment. The event reviewed looking at pixel count Vs transistor count as another view of moors law and notes that as signal to noise ratio drops, quantum error increases, so the likely starting point of next gen field based smart tools will be quantum processing at the molecular level.
Their solution is provided over a client-server architecture, which means the data gathered within the cloud of their field based devices are the perfect tools to use for large scale medical programs. The solution is HIPPA compliant and the cloud based management features creates complete ecosystem to manage these smart devices. So whilst you are on the field you can perform big data analysis to help in the diagnosis of the samples that the smart device is analysing. This means, as long as your company is using a standard smart phone, this smart attachment, turns your pocket phone, into a mobile medical lab !
As the sophistication of medical analysis algorithms increase to match the high pixel rates that can be used alongside digital holographic sample techniques ( on the even smaller smart devices ), the deliverance of accurate medical analysis can become swifter, cheaper and thus far more beneficial to achieve most mainstream medical programmes.
Perhaps the NHS might issue these devices to doctors who perform home visits to patients that are house bound, or to medical nurses/researchers who provide services in remote areas that have limited medical apparatus. This event was fascinating as it clearly shows how TCP/IP architecture can integrate not only with smart phones, but how smart phones can be attached to small portable smart devices with propriety engineered lens and CMOS/IC hardware to create modern mobile laboratories.
For more detail on this event, see the complete IET SoCal review here.
Cellmic have created a simple smartphone attachable device that uses holographic lenses and computer algorithms to analyse medical samples in the field, whether its pandemics, food sampling, or mobile medical vehicles. The smart medical device is already being used in the field, and provides a very innovative use of transistor count on an IC chip Vs pixel rates of smart phones.
The sample is placed on a digital sensor into which, through a pin hole, a LED light is sent. This creates a spatially filtered pattern onto which the smart app applies an algorithm to reconstruct a microscopic image. The image is then further processed for pixel and filter noise. With high level of processing rates these smart devices work in the field to produce the same results as traditional lab based equipment. The event reviewed looking at pixel count Vs transistor count as another view of moors law and notes that as signal to noise ratio drops, quantum error increases, so the likely starting point of next gen field based smart tools will be quantum processing at the molecular level.
Their solution is provided over a client-server architecture, which means the data gathered within the cloud of their field based devices are the perfect tools to use for large scale medical programs. The solution is HIPPA compliant and the cloud based management features creates complete ecosystem to manage these smart devices. So whilst you are on the field you can perform big data analysis to help in the diagnosis of the samples that the smart device is analysing. This means, as long as your company is using a standard smart phone, this smart attachment, turns your pocket phone, into a mobile medical lab !
As the sophistication of medical analysis algorithms increase to match the high pixel rates that can be used alongside digital holographic sample techniques ( on the even smaller smart devices ), the deliverance of accurate medical analysis can become swifter, cheaper and thus far more beneficial to achieve most mainstream medical programmes.
Perhaps the NHS might issue these devices to doctors who perform home visits to patients that are house bound, or to medical nurses/researchers who provide services in remote areas that have limited medical apparatus. This event was fascinating as it clearly shows how TCP/IP architecture can integrate not only with smart phones, but how smart phones can be attached to small portable smart devices with propriety engineered lens and CMOS/IC hardware to create modern mobile laboratories.
For more detail on this event, see the complete IET SoCal review here.