-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
2 changed files
with
46 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,46 @@ | ||
Image acquisition from live cell image instrument (IncuCyte®) and processed in MATLAB to acquire desired frames and export into a video format. | ||
=============================================================================================================================================== | ||
|
||
Reuired files | ||
------------- | ||
|
||
1. Sequential images from the IncuCyte® should be in the local folder | ||
|
||
Run the code | ||
------------ | ||
|
||
:: | ||
|
||
1. open the code file (mcode.m) in MATLAB | ||
2. Run it in MATLAB console | ||
3. The code will prompt to select the folder (where you saved the images) | ||
4. DONE! | ||
|
||
Movie 1 🎬 | ||
--------- | ||
|
||
Video with MATLAB processing inset only |Watch the Video| | ||
|
||
.. |Watch the Video| image:: vertopal_3138ad45283a40f6ba8e003fc947aa77/2f3d4ba425f6944ae001f61bda86485609c8a76e.jpg | ||
:target: https://youtu.be/pOvcgVS5NNs | ||
|
||
Movie 2 🎬 | ||
--------- | ||
|
||
Video with insets of MATLAB processing and Growth Curves |Wathc the | ||
Video| | ||
|
||
.. |Wathc the Video| image:: vertopal_3138ad45283a40f6ba8e003fc947aa77/2daa35ea5d93fa957772d211882f9f3fc5531f89.jpg | ||
:target: https://youtu.be/bpEqelEDgXk | ||
|
||
Citation: | ||
--------- | ||
|
||
\**Kalsum, S., Andersson, B., Das, J. et al. A high-throughput screening | ||
assay based on automated microscopy for monitoring antibiotic | ||
susceptibility of *Mycobacterium tuberculosis* phenotypes. BMC Microbiol | ||
21, 167 (2021). Find full article | ||
`here <https://doi.org/10.1186/s12866-021-02212-3>`__ | ||
|
||
|
||
|