scholarly journals ImmunoRatio: a publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67

2010 ◽  
Vol 12 (4) ◽  
Author(s):  
Vilppu J Tuominen ◽  
Sanna Ruotoistenmäki ◽  
Arttu Viitanen ◽  
Mervi Jumppanen ◽  
Jorma Isola
Keyword(s):  
Image Analysis ◽  
Estrogen Receptor ◽  
Progesterone Receptor ◽  
Web Application ◽  
Quantitative Image Analysis ◽  
Ki 67 ◽  
Quantitative Image

Digital image acquisition, processing, and analysis in a polymer microscopy laboratory

1994 ◽  
Vol 52 ◽  
pp. 454-455
Author(s):  
Vinod K. Berry ◽  
Xiao Zhang
Keyword(s):  
United States ◽  
Image Analysis ◽  
Digital Image ◽  
Image Acquisition ◽  
Image Transmission ◽  
The United States ◽  
Quantitative Image Analysis ◽  
Quantitative Image

In recent years it became apparent that we needed to improve productivity and efficiency in the Microscopy Laboratories in GE Plastics. It was realized that digital image acquisition, archiving, processing, analysis, and transmission over a network would be the best way to achieve this goal. Also, the capabilities of quantitative image analysis, image transmission etc. available with this approach would help us to increase our efficiency. Although the advantages of digital image acquisition, processing, archiving, etc. have been described and are being practiced in many SEM, laboratories, they have not been generally applied in microscopy laboratories (TEM, Optical, SEM and others) and impact on increased productivity has not been yet exploited as well.In order to attain our objective we have acquired a SEMICAPS imaging workstation for each of the GE Plastic sites in the United States. We have integrated the workstation with the microscopes and their peripherals as shown in Figure 1.

scholarly journals Quantitative image analysis of microbial communities with BiofilmQ

2021 ◽  
Author(s):  
Raimo Hartmann ◽  
Hannah Jeckel ◽  
Eric Jelli ◽  
Praveen K. Singh ◽  
Sanika Vaidya ◽  
...  
Keyword(s):  
Image Analysis ◽  
Microbial Communities ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Software Tool ◽  
Image Cytometry ◽  
Quantitative Image Analysis ◽  
Space And Time ◽  
Quantitative Image ◽  
Three Dimensional Space

AbstractBiofilms are microbial communities that represent a highly abundant form of microbial life on Earth. Inside biofilms, phenotypic and genotypic variations occur in three-dimensional space and time; microscopy and quantitative image analysis are therefore crucial for elucidating their functions. Here, we present BiofilmQ—a comprehensive image cytometry software tool for the automated and high-throughput quantification, analysis and visualization of numerous biofilm-internal and whole-biofilm properties in three-dimensional space and time.

Quantitative Image Analysis of Nuclear Chromatin Distribution for Cytological Diagnosis

2011 ◽  
Vol 55 (5) ◽  
pp. 455-459 ◽  
Author(s):  
Ryotaro Jingu ◽  
Masafumi Ohki ◽  
Sumiko Watanabe ◽  
Sadafumi Tamiya ◽  
Setsuo Sugishima ◽  
...  
Keyword(s):  
Image Analysis ◽  
Quantitative Image Analysis ◽  
Cytological Diagnosis ◽  
Nuclear Chromatin ◽  
Quantitative Image

Concurrent Endometrial Intraepithelial Carcinoma (EIC) and Serous Ovarian Cancer: Can EIC Be Seen as the Precursor Lesion?

2012 ◽  
Vol 22 (3) ◽  
pp. 457-464 ◽  
Author(s):  
Thijs Roelofsen ◽  
Léon C.L.T. van Kempen ◽  
Jeroen A.W.M. van der Laak ◽  
Maaike A. van Ham ◽  
Johan Bulten ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Estrogen Receptor ◽  
Progesterone Receptor ◽  
Expression Patterns ◽  
Neoplastic Progression ◽  
Precursor Lesion ◽  
Ki 67 ◽  
Cancer Management ◽  
Ploidy Analysis ◽  
Intraepithelial Carcinoma

ObjectiveThe pathogenesis of serous ovarian carcinoma (SOC) is still unknown. Recently, endometrial intraepithelial carcinoma (EIC) was proposed to be the precursor lesion of SOC. This study examines the model of EIC as precursor for SOC.MethodsCases of SOC with a noninvasive or superficially invasive serous lesion, a hyperplastic lesion with/without atypia, or EIC in the endometrium were selected for inclusion in this study. Tissue sections from both ovaries, the fallopian tubes, and the uterus were extensively reviewed by an expert gynecopathologist. For both EIC and SOC, immunostaining for p53, Ki-67, estrogen receptor, and progesterone receptor; TP53 mutation analysis; and in situ ploidy analysis were performed.ResultsNine cases of SOC with concurrent EIC in the endometrium were identified. Immunostaining for p53, Ki-67, estrogen receptor, and progesterone receptor revealed almost identical expression patterns and similar intensities in each pair of EIC and coincident SOC. Identical TP53 mutations were found in SOC and coinciding EIC in 33% of the cases, suggesting a clonal origin. DNA ploidy analysis, as a marker for neoplastic progression, demonstrated an increased number of aneuploid nuclei in SOC compared to their corresponding EIC (P = 0.039). In addition, the mean amount of DNA per nucleus in SOC was higher (ie, more aneuploid) compared to EIC (P = 0.039).ConclusionThis study provides a first indication of EIC as possible precursor lesion for SOC. This finding could have major clinical implications for future ovarian cancer management and underscores EIC as a possible target for early SOC detection and prevention.

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