2010
DOI: 10.1007/s00428-010-1008-3
|View full text |Cite
|
Sign up to set email alerts
|

JPEG2000 for automated quantification of immunohistochemically stained cell nuclei: a comparative study with standard JPEG format

Abstract: The Joint Photographic Experts Group (JPEG) standard format is one of the most widely used in image compression technologies. More recently, JPEG2000 format has emerged as a state-of-the-art technology that provides substantial improvements in picture quality at higher compression ratios. However, there has been no attempt to date to determine which of the two compression formats produces less variability in the automated evaluation of immunohistochemically stained digital images in agreement with their compre… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
7
0

Year Published

2012
2012
2019
2019

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 8 publications
(7 citation statements)
references
References 45 publications
0
7
0
Order By: Relevance
“…For the remaining elements, individual images of every sample were exported from the whole-slide scanned image to two computer programs: (1) angiopath ( Fernandez-Carrobles et al , 2013 ; Tadeo et al , 2016 ), which then closed vessels with incomplete vascular walls to properly quantify the vascular density and to measure variations in the shape and size of the vessels; and (2) Image-Pro Plus 6.0, which enabled proper segmentation of Col I Fs and provided parameters indicating various morphological features of the Ret Fs networks. JPEG format, with the highest quality compression, was chosen by default as being sufficient to detect image hues without loss of quality, given that the majority of the morphological measurements are not affected by compression ( Lopez et al , 2008 ; Lopez et al , 2009 ; Lejeune et al , 2011 ). Nevertheless, we chose TIFF format for blood-vessel analysis because we needed fine segmentation (precise recognition of the elements of interest) to properly perform blood-vessel closing, which is one of the central advantages of the software used.…”
Section: Methodsmentioning
confidence: 99%
“…For the remaining elements, individual images of every sample were exported from the whole-slide scanned image to two computer programs: (1) angiopath ( Fernandez-Carrobles et al , 2013 ; Tadeo et al , 2016 ), which then closed vessels with incomplete vascular walls to properly quantify the vascular density and to measure variations in the shape and size of the vessels; and (2) Image-Pro Plus 6.0, which enabled proper segmentation of Col I Fs and provided parameters indicating various morphological features of the Ret Fs networks. JPEG format, with the highest quality compression, was chosen by default as being sufficient to detect image hues without loss of quality, given that the majority of the morphological measurements are not affected by compression ( Lopez et al , 2008 ; Lopez et al , 2009 ; Lejeune et al , 2011 ). Nevertheless, we chose TIFF format for blood-vessel analysis because we needed fine segmentation (precise recognition of the elements of interest) to properly perform blood-vessel closing, which is one of the central advantages of the software used.…”
Section: Methodsmentioning
confidence: 99%
“…NB NOS samples have also been quantified (n=41, 9%). Various techniques were performed to assess the status of the MYCN oncogene: MNNA (n=379, 82.8%) vs. MNA (n=77, 16.8%), the integrity of the 11q23 region: non-deleted (n=321, 70.1%) vs. 11qD (n=77, 16.8%) and the overall genomic profile: numerical chromosomal aberrations (n=95, 20.7%) vs. SCA (n=223, 48.7%), following previously published European guidelines [ 35 - 39 ]. The combination of all the above histopathological and genetic variables with age: <18 months (n=266, 58.1%) vs. >18 months (n=172, 37.6%); and stage: localized 1 (n=145, 31.6%), localized 2 (n=143, 31.4%), metastatic (n=112, 24.4%) and metastatic special (n=32, 6.9%); according to the INRG classification, defined a risk group: very low (n=184, 37.6%), low (n=77, 37.6%), intermediate (n=34, 37.6%), unspecified low or intermediate (some data missing) (n=24, 5.3%) and high (n=110, 37.6%) (Figure 4 ) [ 2 ].…”
Section: Methodsmentioning
confidence: 99%
“…Unfortunately, any manipulation can decrease image quality in terms of colour fidelity (called also colour consistency), overall and local contrast, homogeneousness in luminance across the image, over-and underexposure, and sharpness [ 2 ]. The degrading of image is similar to effects of image compression [ 3 ]. Image features variation leads to ambiguity in contour and texture detection, thus influence reliability and effectiveness of image segmentation and image quantitative description [ 4 ].…”
Section: Introductionmentioning
confidence: 99%