ethics in

digital image processing

 

what (not) to do!

Dan White, GE Healthcare / Fiji

NEUBIAS COST Action. NeuBIAS 2017 TS2:  BioImage Analysis for Early Career Investigators. Oerias, Portugal. Tuesday 14th Feb, 17:00-18:30

 

What is scientific ethics?

Understand

Image Formation Process

systematic errors

are fixable

"raw, noisy"

contrast restored (deconv.)

image restoration

fix systematic errors

"raw, noisy

contrast restored (deconv.)

"raw, noisy"

Images: Alex Bird / Dan White MPI-CBG

measure and correct

systematic errors

colour shift

corrected

Bias

no cherry picking:

"the one that worked"

 

double blind assays

With power comes responsibility

Open

Reproducible

Available

 

Openness:

Share Tools

Open Access

Who Paid?

 

 

Reproducible

and Available:

Version Control

Share Scripts/Code

Share Image Data

Cheating is easy...

... to detect!

(and punish?)

 

Cheat detection

Cheat detection

 

 

copy

paste

Cheat detection

NYT Health (@NYTHealth) tweeted at 9:22 pm on Wed, Mar 08, 2017:
Forensic analysts say Ohio State's star scientist, who received millions in grants, manipulated images of his data

Guidelines:

Avoiding Twisted Pixels: Ethical Guidelines for the Appropriate Use and Manipulation of Scientific Digital Images

Douglas W. Cromey

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4114110/

http://swehsc.pharmacy.arizona.edu/micro/digital-image-ethics​

Digital Images Are Data:

And Should Be Treated as Such

Douglas W. Cromey      https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4210356/​

Guidelines 2:

Seeing is believing? A beginners' guide to practical pitfalls in image acquisition

Alison J. North    http://jcb.rupress.org/content/172/1/9​

The 39 steps: a cautionary tale of quantitative 3-D fluorescence microscopy.

James Pawley

http://www.academia.edu/9257309/39_Steps

Guidelines 3:

Give yourselves

a chance!

a testable hypothesis?

The scientific method... dont spend too much time on

fishing trips and stamp collecting

 

an assay: measure something

Are your eyes reliable?

Give readers a chance!

Colour Look-Up Tables:

fire, rainbow, many more...

Adelson's Squares

intensity "calibration bar"

No Red/Green = Yellow merge images:

colour blindness is common

use green/magenta or red/cyan

http://imagej.net/Spirals

Ethics in digital image processing copy

By Daniel White

Ethics in digital image processing copy

Ethics in digital image processing

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