Document Detail

Digital images are data: and should be treated as such.
MedLine Citation:
PMID:  23026995     Owner:  NLM     Status:  MEDLINE    
The scientific community has become very concerned about inappropriate image manipulation. In journals that check figures after acceptance, 20-25% of the papers contained at least one figure that did not comply with the journal's instructions to authors. The scientific press continues to report a small, but steady stream of cases of fraudulent image manipulation. Inappropriate image manipulation taints the scientific record, damages trust within science, and degrades science's reputation with the general public. Scientists can learn from historians and photojournalists, who have provided a number of examples of attempts to alter or misrepresent the historical record. Scientists must remember that digital images are numerically sampled data that represent the state of a specific sample when examined with a specific instrument. These data should be carefully managed. Changes made to the original data need to be tracked like the protocols used for other experimental procedures. To avoid pitfalls, unexpected artifacts, and unintentional misrepresentation of the image data, a number of image processing guidelines are offered.
Douglas W Cromey
Related Documents :
24201085 - Automatic in vivo portal dosimetry of all treatments.
23076045 - Non-negative local coordinate factorization for image representation.
23453775 - Effectiveness and driver acceptance of a semi-autonomous forward obstacle collision avo...
24639285 - Variable-flip-angle single-slab 3d grase imaging with phase-independent image reconstru...
15988625 - Image quality assurance of soft copy display systems.
24000985 - Evaluation of image-guidance strategies for prostate cancer.
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Methods in molecular biology (Clifton, N.J.)     Volume:  931     ISSN:  1940-6029     ISO Abbreviation:  Methods Mol. Biol.     Publication Date:  2013  
Date Detail:
Created Date:  2012-10-02     Completed Date:  2013-02-11     Revised Date:  2014-03-13    
Medline Journal Info:
Nlm Unique ID:  9214969     Medline TA:  Methods Mol Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1-27     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Automatic Data Processing
Guidelines as Topic
Image Processing, Computer-Assisted*
Information Management
Information Storage and Retrieval
Peer Review, Research / standards
Scientific Misconduct
Grant Support

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Research on culturally tailored interventions aimed at improving chronic disease risk factors and ma...
Next Document:  Epi-fluorescence microscopy.