scholarly journals Automated Quantitative Image Evaluation of Antigen Retrieval Methods for 17 Antibodies in Placentation and Implantation Diagnostic and Research

2021 ◽  
pp. 1-12
Author(s):  
Julia Fuchs ◽  
Olivia Nonn ◽  
Christine Daxboeck ◽  
Silvia Groiss ◽  
Gerit Moser ◽  
...  
Keyword(s):  
Image Analysis ◽  
Image Data ◽  
Placental Tissue ◽  
Quantitative Image Analysis ◽  
Immunofluorescent Staining ◽  
Antigen Retrieval ◽  
Positive Staining ◽  
Quantitative Image ◽  
Β Hcg

Immunostaining in clinical routine and research highly depends on standardized staining methods and quantitative image analyses. We qualitatively and quantitatively compared antigen retrieval methods (no pretreatment, pretreatment with pepsin, and heat-induced pretreatment with pH 6 or pH 9) for 17 antibodies relevant for placenta and implantation diagnostics and research. Using our newly established, comprehensive automated quantitative image analysis approach, fluorescent signal intensities were evaluated. Automated quantitative image analysis found that 9 out of 17 antibodies needed antigen retrieval to show positive staining. Heat induction proved to be the most efficient form of antigen retrieval. Eight markers stained positive after pepsin digestion, with β-hCG and vWF showing enhanced staining intensities. To avoid the misinterpretation of quantitative image data, the qualitative aspect should always be considered. Results from native placental tissue were compared with sections of a placental invasion model based on thermo-sensitive scaffolds. Immunostaining on placentas in vitro leads to new insights into fetal development and maternal pathophysiological pathways, as pregnant women are justifiably excluded from clinical studies. Thus, there is a clear need for the assessment of reliable immunofluorescent staining and pretreatment methods. Our evaluation offers a powerful tool for antibody and pretreatment selection in placental research providing objective and precise results.

scholarly journals N-cadherin stabilises neural identity by dampening anti-neural signals

2019 ◽  
Author(s):  
K Punovuori ◽  
RP Migueles ◽  
M Malaguti ◽  
G Blin ◽  
KG Macleod ◽  
...  
Keyword(s):  
Image Analysis ◽  
Neural Differentiation ◽  
Quantitative Image Analysis ◽  
Neural Signals ◽  
Neural Fate ◽  
Quantitative Image

AbstractA switch from E-to N-cadherin regulates the transition from pluripotency to neural identity but the mechanism by which cadherins regulate differentiation was previously unknown. Here we show that the acquisition of N-cadherin stabilises neural identity by dampening anti-neural signals. We use quantitative image-analysis to identify an effect of N-cadherin to promote neural differentiation independently of effects on cell cohesiveness. We reveal that cadherin switching diminishes the level of nuclear β-catenin, and that N-cadherin also dampens FGF activity and consequently stabilises neural fate. Finally, we compare the timing of cadherin switching and differentiation in vivo and in vitro, and find that this process becomes dysregulated during in vitro differentiation. We propose that N-cadherin helps to propagate a stable neural identity throughout the emerging neuroepithelium, and that dysregulation of this process contributes to asynchronous differentiation in culture.

scholarly journals A quantitative image analysis for the cellular cytoskeleton during in vitro tumor growth

2018 ◽  
Vol 92 ◽  
pp. 39-51
Author(s):  
Mohammad A. Al-Mamun ◽  
Worawut Srisukkham ◽  
Dewan Md Farid ◽  
Lorna Ravenhill ◽  
Li Zhang ◽  
...  
Keyword(s):  
Image Analysis ◽  
Tumor Growth ◽  
Quantitative Image Analysis ◽  
Quantitative Image ◽  
Cellular Cytoskeleton

Quantitative image analysis and morphometry of electron micrographs using a comptuer-assisted user-defined interface

1993 ◽  
Vol 51 ◽  
pp. 484-485
Author(s):  
Barbara A. Evans ◽  
Tamara A. Howard ◽  
Thomas M. Mahoney ◽  
Michael J. Becich
Keyword(s):  
Image Analysis ◽  
Data Management ◽  
Electron Micrographs ◽  
Quantitative Image Analysis ◽  
Computer Assisted ◽  
Quantitative Image ◽  
Intracellular Compartments ◽  
Cellular Compartments

Quantitative Image Analysis and Morphometries (QIAM) is a tedious and time-consuming process. The large number of micrographs examined leads to special data management problems. Analysis of multiple subcellular compartments in cells is complicated by the inability to resolve adjacent cellular compartments. In addition, capturing data via grey scale or thresholding techniques on electron micrographs is very difficult at the organelle level. Visual feedback from an image that is also captured by an integrated digitizing pad (to identify and edit the cellular compartments) is critical. Statistical evaluation of the large amounts of information generated further complicates data management and analysis. Computer assisted QIAM with a user defined interface in a Windows environment has helped make data collection and analysis a much simpler and efficient process. We used BioScan’s Optimas software (Edmonds, WA) linked to a spreadsheet to analyze multiple intracellular compartments and other features of a variety of epithelial cells in vivo and in vitro.

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
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