Weight Estimation Using Image Analysis and Statistical Modelling: A Preliminary Study

2007 ◽  
Vol 23 (1) ◽  
pp. 91-96 ◽  
Author(s):  
K. Kollis ◽  
C. S. Phang ◽  
T. M. Banhazi ◽  
S. J. Searle
Keyword(s):  
Image Analysis ◽  
Statistical Modelling ◽  
Weight Estimation ◽  
Preliminary Study

scholarly journals Comparative evaluation of three image analysis methods for angular displacement measurement in a MEMS microgripper prototype: a preliminary study

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 119
Author(s):  
Federica Vurchio ◽  
Giorgia Fiori ◽  
Andrea Scorza ◽  
Salvatore Andrea Sciuto
Keyword(s):  
Image Analysis ◽  
Angular Displacement ◽  
Functional Characterization ◽  
Displacement Measurement ◽  
Mems Devices ◽  
Speeded Up Robust Features ◽  
Relevant Today ◽  
Measurement Results ◽  
Preliminary Study

<p class="Abstract"><span lang="EN-US">The functional characterization of MEMS devices is relevant today since it aims at verifying the behavior of these devices, as well as improving their design. In this regard, this study focused on the functional characterization of a MEMS microgripper prototype suitable in biomedical applications: the measurement of the angular displacement of the microgripper comb-drive is carried out by means of two novel automatic procedures, based on an image analysis method, SURF-based (Angular Displacement Measurement based on Speeded Up Robust Features, ADM<sub>SURF</sub>) and FFT-based (Angular Displacement Measurement based on Fast Fourier Transform, ADM<sub>FFT</sub>) method, respectively. Moreover, the measurement results are compared with a Semi-Automatic Method (SAM), to evaluate which of them is the most suitable for the functional characterization of the device. The curve fitting of the outcomes from SAM and ADM<sub>SURF</sub>, showed a quadratic trend in agreement with the analytical model. Moreover, the ADM<sub>SURF</sub> measurements below 1° are affected by an uncertainty of about 0.08° for voltages less than 14 V, confirming its suitability for microgripper characterization. It was also evaluated that the ADM<sub>FFT</sub> is more suitable for measurement of rotations greater than 1° (up to 30°), with a measurement uncertainty of 0.02°, at 95% of confidence level.</span></p>

Image Analysis of Endothelial Microstructure and Endothelial Cell Dimensions of Human Arteries - A Preliminary Study

2010 ◽  
Vol 13 (1-2) ◽  
pp. B54-B57 ◽  
Author(s):  
Bora Garipcan ◽  
Stefan Maenz ◽  
Tam Pham ◽  
Utz Settmacher ◽  
Klaus D. Jandt ◽  
...  
Keyword(s):  
Image Analysis ◽  
Endothelial Cell ◽  
Cell Dimensions ◽  
Human Arteries ◽  
Preliminary Study

scholarly journals Modelling the spatial heterogeneity and molecular correlates of lymphocytic infiltration in triple-negative breast cancer

2015 ◽  
Vol 12 (103) ◽  
pp. 20141153 ◽  
Author(s):  
Yinyin Yuan
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Image Analysis ◽  
Spatial Heterogeneity ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Statistical Modelling ◽  
Lymphocytic Infiltration ◽  
Immune Infiltration ◽  
Response To Chemotherapy

Lymphocytic infiltration is associated with a favourable prognosis and predicts response to chemotherapy in many cancer types, including the aggressive triple-negative breast cancer (TNBC). However, it is not well understood owing to the high levels of spatial heterogeneity within tumours, which is difficult to analyse by traditional pathological assessment. This paper describes an unbiased methodology to statistically model the spatial distribution of lymphocytes among tumour cells based on automated analysis of haematoxylin-and-eosin-stained whole-tumour section images, which is applied to two independent TNBC cohorts of 181 patients with matched microarray gene expression data. The novelty of the proposed methodology is the fusion of image analysis and statistical modelling for an integrative understanding of intratumour heterogeneity of lymphocytic infiltration. Using this methodology, a quantitative measure of intratumour lymphocyte ratio is developed and found to be significantly associated with disease-specific survival in both TNBC cohorts independent to standard clinical parameters. The proposed image-based measure compares favourably to a number of gene expression signatures of immune infiltration. In addition, heterogeneous immune infiltration at the morphological level is reflected at the molecular scale and correlated with increased expression of CTLA4 , the target of ipilimumab. Taken together, these results support the fusion of high-throughput image analysis and statistical modelling to offer reproducible and robust biomarkers for the objective identification of patients with poor prognosis and treatment options.

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