CellSum
Free
1.0.1for iPhone
Age Rating
CellSum Screenshots
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.
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.
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What's New in the Latest Version 1.0.1
Last updated on Oct 10, 2016
Old Versions
1.Increase the number of parameter Settings in the field of obtain guidance
2.Adapter ios10
2.Adapter ios10
Show More
Version History
1.0.1
Oct 10, 2016
1.Increase the number of parameter Settings in the field of obtain guidance
2.Adapter ios10
2.Adapter ios10
CellSum FAQ
Click here to learn how to download CellSum in restricted country or region.
Check the following list to see the minimum requirements of CellSum.
iPhone
CellSum supports Chinese, English
