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CellSum スクリーンショット

iPhone

About CellSum

Life is Short, no Time to Count.

Save a ton of lab time for publishing another Nature paper, good enough? You just need CellSum to automate the time-comsuming task of cell counting.

[Preparation]
1. Microscope with a 10x object len and a eye-piece with >18mm FoV;
2. A cell counting chamber;
3. A smartphone-microscope adaptor.
(We offer fully-optimized model for any phone for $99, but the service is limited outside China. Contact help@terrrydr.com for more info).

[Procedures]
a) Get your chamber ready with solution, and set the parameters in CellSum;
b) Place the chamber under the scope with the counting area (1mm*1mm area with 4x4 blocks) centered in the FoV;
c) Make sure the grids are almost parrelel/vertical to the boundary of the view;
d) Nihao! Region A counted.
e) Move the chamer around and repeat b)-d) to count the other 3 regions and get your average;
f) Enjoy your coffee.

[Notes]
I. CellSum is based on our proprietary >>distributed mobile computer vision engine<< (sEngine), which is 30% to 500% more efficient than libraries like openCV;
II. This is Beta1 version of CellSum with only basic fully automatic counting. More features are coming, such as:
(II-1) Interactive marking and correcting;
(II-2) Live-vs.-dead cell recognition;
(II-3) Something else magical.
III. CellSum is a none-profit project. Please use the feedback functions to help our AI system learning from your results. This will help you and other bio-medical researchers get faster and better results.