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Guess the Condition

A blinded test of whether experimental conditions can be told apart by eye, with statistics across biological repeats.

Utilitynapari plugin: experimentalFiji plugin: experimentalQuPath plugin: experimental

GuessTheCondition

About

You see randomised images without their condition and guess it. The app records your guesses and decision times, then reports whether the conditions can be told apart across biological repeats, with accuracy against chance and a confusion matrix.

Works with

The authors say it works with:

  • TIFF images (.tif or .tiff): one folder per condition, inside it one folder per biological repeat
  • 2D images, multi-channel images (shown side by side), and z-stacks or time series (shown as a maximum projection)

Produces

The authors say it produces:

  • Whether the conditions can be told apart across biological repeats, with n and the 95% interval
  • Accuracy of every repeat and of every condition against chance, the confusion matrix and the decision times (a SuperPlot)
  • A PDF report with the text, the figures and the tables
  • game_results.csv and session.json, in a folder with your name inside the results folder

Get it on your computer

Install the app on your own computer: download the installer for your system, and the steps for that system open below the buttons. You do this once; installing needs an internet connection, because the installer downloads the app's Python packages.

v0.0.1 · 14 October 2026 · files come from github.com/CellMigrationLab/GuessTheCondition/releases

Windows

Windows installer304.8 MB · .exe

Installers built with LabConstrictor are not code-signed yet, so Windows may warn you. Run files only from this app's GitHub release. See the Windows steps.

macOS

Apple Silicon (M1 or later)179.9 MB · .pkgIntel188.0 MB · .pkg

Not sure which? Open the Apple menu, then About This Mac: Intel means Intel, M1 or later means Apple Silicon. If macOS refuses to open it, see the macOS steps.

Linux

Linux installer215.3 MB · .sh

Needs a terminal. Run it with: bash <file name>. See the Linux steps.

How to install on Windows
  1. Download the .exe file and double-click it.

  2. If Windows shows "Windows protected your PC", click "More info" and then "Run anyway". The installers are not code-signed yet.

    Windows protected your PC: click More info, then Run anyway

  3. Follow the on-screen prompts. Launch the app from the Start Menu or your desktop.

How to install on macOS
  1. Choose your file: open the Apple menu, then About This Mac. If the Chip or Processor says Intel, download the Intel installer; if it says M1, M2 or similar, download the Apple Silicon one.
  2. Double-click the .pkg file. If macOS refuses to open it, go to System Settings, Privacy & Security, scroll down to the message about the package and click "Open Anyway" (it appears only after you tried to open the file once). If you do not see it, try opening the file again, then check this page again.
  3. Follow the prompts (we recommend "Install only for me"). Launch the app from your Applications folder.
How to install on Linux
  1. Download the .sh file.
  2. Open a terminal in the download folder and run bash followed by the name of the file you downloaded, for example: bash MyApp-0.1.0-Linux-x86_64.sh
  3. Follow the prompts, then launch the app from your applications menu.

All systems, with pictures: Install an app.

Notebooks to open in your browser

These run on Google's servers in Google Colab: you need an internet connection and a Google account, and any data you load into the notebook is handled by Google. The desktop app runs on your computer.

Using it

  1. Prepare your images: one folder per condition, inside it one folder per biological repeat
  2. Step 1: give your name, the folder with your experiment, a folder for the results and the share of the images you want to guess
  3. Step 2: press Start / continue, choose the condition you think each image comes from and press Submit guess
  4. Step 3: run the analysis cell when you have guessed enough images

For any LabConstrictor desktop app: after installing, open the app from the Start menu (Windows), the Applications folder (macOS) or your applications menu (Linux). A terminal window opens with it: keep it open while you work. Its Welcome notebook lists the app's notebooks; the notebook usage guide shows how to work with it.

Read more: README on GitHub.

Limitations

The authors say:

  • Every channel is contrast-stretched on its own, so conditions must be told apart by what the images show, not by overall brightness
  • With one or two repeats there is no verdict about the experiment; a randomization test is exploratory and does not generalise to new repeats
  • The test on all images pooled is exploratory: it counts every image as independent, so its false-positive chance is higher than stated

How to cite

The authors name no publication to cite.

Name the version you used (latest release: v0.0.1 · 14 October 2026).

All downloads

Every installer of version 0.0.1 (7 files, with checksums)

Released 14 October 2026. Files come straight from the app's GitHub release.

Installers of the latest release
SystemFormatSizeFileSHA-256 (from GitHub)
Linux 64-bit (x86_64).sh215.3 MBGuessTheCondition-0.0.1-Linux-x86_64.sh07fb9a08370540a9678710242fdf839330fc92e136092b47a04514021a74d055
macOS (Apple Silicon).pkg179.9 MBGuessTheCondition-0.0.1-MacOSX-arm64.pkg835046f9511c30a728851c36b3fe30f2a7d0d8ae70979b1316943ca6c76325c5
macOS (Apple Silicon).sh180.7 MBGuessTheCondition-0.0.1-MacOSX-arm64.shfd1526e0e63cb5277967e032bfb021794b772b51a8400908e15b683c610e413c
macOS (Intel).pkg188.0 MBGuessTheCondition-0.0.1-MacOSX-x86_64.pkg5defe77eb6293d40471610343caf6ad60c0d6931e8f29b70d9ab99d395998407
macOS (Intel).sh188.8 MBGuessTheCondition-0.0.1-MacOSX-x86_64.sh1f97c1b715c56da719d706b2f332bfa936b782c11f69e3f044ea0d72b9191564
Windows 64-bit (Intel/AMD, x86_64).exe304.8 MBGuessTheCondition-0.0.1-Windows-x86_64.exeb6674a18f268660b3170d7838dd71c9871ef52232baeb4cd6273d459d29745e4
Windows 64-bit (Intel/AMD, x86_64).msi304.1 MBGuessTheCondition-0.0.1-Windows-x86_64.msib2dbc2476b50f06ac7038dcb71406ac2bedb18b4af26e2e6d47c44c9132ef6b3

Details

Kind
Utility
Development status
Not stated by the authors
Latest release
v0.0.1 · 14 October 2026
License
MIT
Repository owner
CellMigrationLab
Also in (plugins)
napari plugin: experimental Fiji plugin: experimental QuPath plugin: experimental
Topics
experimental design, blinding
Links
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