There are several ways, how one can integrate the powerful machine-learning framework of Google into an Android App, but most of the examples – at least the ones I found – only showed how the example build has to be built using the Bazel build tools. I wanted tot he „old-school“ way using just the Android Studio and use the Tensorflow Framework as a 3rd party dependency.
There are several materials to use with 3D printers. Most of the time I use PLA in my prints, but there is also ABS (the „Lego“-material), PMMA and Plexiglas. There is also this comparable new thing called Ninjaflex. It can be used as any other filament, but the result is flexible. Astonishingly flexible!
A very cheap method to realize a spatial light modulator one can simply use an off-the-shelf LCD module driven by an Arduino. When removing the backlight and putting the LCD in the optical path, it acts as a very cheap mask. Controlling the device via MATLAB or PYTHON is an easy task to do!
In my work I tried to implement a SERVER<-> Client interarction, where Matlab sends command and the Arduino executes them.
When characterizing cells or any other microscopic objects it’s sometimes useful to guide them through tiny channels when observing or counting them under the microscope. The term is sometimes called as microfluidics. Therefore many different methods exist to create these devices. One method etches channels in glass or plastic, another additively procedure – sometimes called photolithography – cures a photoresist/resin to get a 3D-like structure after washing the uncured parts away. This usually costs lots of money. Further details here: http://pubs.rsc.org/en/content/articlehtml/2016/lc/c6lc00284f
One part of my research was to improve phase-contrast using a brightfield microscope without adding any special optics like the DIC-prism or phasering in Zernike phase-contrast. Defined phase objects are hard to get. Thinking about a light guide embedded in immersion oil could be one chance to have a phase object, but this extends the field of view (FOV) of a 20x/63x objective which was used in my setup.
Cells are usually amorphous and won’t have defined phase retardation. Therefore I was thinking about a way how I can get a defined phase on the cheap with off the shelf components.
Well.. Demand on imaging small structures is widely increasing. In 3rd world countries diagnosis of parasites like malaria is becoming more and more important. Also judging over the water quality is of great importance. General public has hardly any money to spent for those kind of technologies, so why not using things which are around already? I’m not the first one taking this into account, but want to give some inspirations on how a smartphone microscope could look like.
This one was also thought as a present for someone who has a BLACKBERRY PASSPORT, but the upper case for the smartphone can be exchanged to any other case you find. You could either glue or use the two drills to attach it to the main body.
Here you can see the working Z-stage using the Zoom lens of the WIFI-driven digitial still camera