Examples
Examples
Try the starting example
- Scale bar length (pixels)
- 200
- Known scale bar length (µm)
- 100
- Feature length (pixels)
- 75
- Calibrated feature length (µm)
- 37.5
- Pixel size (µm/pixel)
- 0.5
Try another scenario
- Scale bar length (pixels)
- 220.00000000000003
- Known scale bar length (µm)
- 100
- Feature length (pixels)
- 75
- Calibrated feature length (µm)
- 34.090909
- Pixel size (µm/pixel)
- 0.454545
Calculation method
Calculation method
Calibrated feature length (µm)
Calibrated length=featurePixels × knownLength/barPixels.
Pixel size (µm/pixel)
Calibrated length=featurePixels × knownLength/barPixels.
Symbols and units
- a
- Scale bar length (pixels)
- b
- Known scale bar length (µm)
- c
- Feature length (pixels)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Calculation uses the entered values and stated mathematical model; quantities must use the labelled units. Supported limits: All required fields must be finite values of the exact declared type and within displayed bounds. Lists contain1–1000 finite numbers. JSON tables are numeric rectangular rows, at most100 rows and30 columns; individual tools have stricter shape/domain constraints. Calibrated length=featurePixels × knownLength/barPixels.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.