title: Effects of lossy image compression on quantitative image analysis of cell nuclei.
abstract: OBJECTIVE
  To investigate whether statistically significant changes occur in quantitative image analysis of cell nuclei when lossy image compression techniques are used.
  
  
  METHODS
  Thirty-five stoichiometric, Feulgen-stained samples of rat hepatocytes, human thyroid and ovarian cancer cell nuclei were used. Image analysis was performed by a computerized system that used AutoCyte LINK V1.1.1.56 software (Burlington, North Carolina, U.S.A.) for image acquisition and Zeiss Vision KS 400 V3.0 software (Oberkochen, Germany) for quantitative image analysis. After lossy JPEG compression of acquired images at different quality levels, some densitometric features were selected and measurements performed.
  
  
  RESULTS
  We observed that nearly all the standard densitometric features showed statistically significant changes when images were compressed with the lossy JPEG algorithm. However, most invariant densitometric moment features remained free of statistically significant changes.
  
  
  CONCLUSIONS
  The standard densitometric measurements that we used do not tolerate lossy compression. However, analyses using invariant densitometric features may be performed on images compressed with lossy JPEG, resulting in simpler, less expensive systems demanding less network bandwidth.
authors.affiliation: Department of Medical Education and Informatics, Faculty of Medicine, Hacettepe University, Department of Pathology, Faculty of Medicine, Gulhane Military Medical Academy, Ankara, Turkey.
authors.forename: Koray
authors.initials: K
authors.lastname: Atalağ
authors.forename: Murat
authors.initials: M
authors.lastname: Sincan
authors.forename: Bülent
authors.initials: B
authors.lastname: Celasun
authors.forename: Ergun
authors.initials: E
authors.lastname: Karaağaoğlu
mesh_terms: D000818:Animals; D002467:Cell Nucleus; D044962:Data Compression; D005260:Female; D022781:Hepatocytes; D006801:Humans; D019044:Image Cytometry / Q000379:methods / Q000592:standards; D007089:Image Enhancement / Q000379:methods / Q000592:standards; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000592:standards; D010051:Ovarian Neoplasms; D051381:Rats; D012394:Rosaniline Dyes / Q000737:chemistry; D012984:Software; D013964:Thyroid Neoplasms
chemical_list: C007722:Feulgen stain; D012394:Rosaniline Dyes