Fig. 2. An automated cell phone–based video microscope.

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Presentation transcript:

Fig. 2. An automated cell phone–based video microscope. An automated cell phone–based video microscope. (A) A 3D-printed lid (i) aligns an isolated iPhone 5s cell phone lens module (ii) with the camera of a removable iPhone 5s (iii). A 3D-printed base (iv) positions a LED array directly beneath a capillary loaded with blood (v), which is mounted on a moveable carriage (vi). The carriage can slide along a single-axis rail driven by a rack coupled to its underside and a servo-mounted gear (vii), moving different regions of the capillary into the microscope FOV. An Arduino microcontroller board (viii) and a Bluetooth controller board (ix) communicate between the iPhone 5s, the servo, and the LED array. (x) A micro-USB (universal serial bus) port powers the device. (B) Simplified optical diagram of the microscope device. White light from the LED array illuminates the blood-loaded capillary. An isolated camera module from an iPhone 5s is inverted and positioned against the capillary. Light from the sample is collected by the inverted (objective) lens and then refocused by the optics of the iPhone 5s lens module onto the camera sensor. The capillary can be translated to position a new FOV into the optical path. (C) A video acquired by the device captures microfilarial motion from a known volume of whole blood within a rectangular glass capillary. A still frame from a video of whole blood is shown (movie S1). Scale bar, 1 mm. Michael V. D’Ambrosio et al., Sci Transl Med 2015;7:286re4 Copyright © 2015, American Association for the Advancement of Science