I am looking for two tools, ideally in Python or Fiji.
The first tool shall display me fast a lot of images and shall allow me to sort those very fast.
I have hundreds of EM images (all same size, rather large (3296 x 2472)).
Very few are for technical reasons bad.
(e.g. blurry since someone slammed the door during acquisition)
Thus, I want to open them automatically and then just click left / right.
Left means move file to excluded folder, right to included folder.
Each click should also open the next image, no enter or mouse action involved.
I expect “click rates” around 1Hz.
I see the responsiveness as bottleneck.
The second tool is almost the same just that I want to use it to classify phenotypes.
Thus, it should open each image in random order from the “good folder” and display it to me fast.
Then I click left, right, up, down to assign a pathology grade 1-4.
Or any number to do the same with 0-9.
It would be really cool if the tool would display 20% of the images twice * (once normal, once flipped).
(*) For quality control.
And all of this shall be saved in a csv table.
Bonus would be that the analysis could be done multiple times by different people and
statistics would be provided for human to human variation.
Are you aware that anything like that already exists?
Is there a not too complex tool (that does it “almost”)? Then I might also just add a few more lines of code to it (in Python). I see the responsiveness as bottleneck. Thus, the part I am most afraid of is loading images to the memory before they are displayed and/or multithread writing in the background while the user looks at the current image. If that part were already solved this would be great.
All images are of the same size, thus they could be considered a fake Z-Stack…
Assembling it in a random fashion should be easy.
Instant feedback that the click was “accepted” might be important to avoid that user click twice the same image in case there are minor delays.
Thanks a lot &