scholarly journals Visual in-plane positioning of a Labeled target with subpixel Resolution: basics and application

TecnoLógicas ◽  
2017 ◽  
Vol 20 (39) ◽  
pp. 127-140
Author(s):  
Patrick Sandoz ◽  
July A. Galeano ◽  
Artur Zarzycki ◽  
Deivid Botina ◽  
Fabián Cortés-Mancera ◽  
...  
Keyword(s):  
Cell Culture ◽  
Wound Healing ◽  
Vibration Amplitude ◽  
A Priori ◽  
Region Of Interest ◽  
Quartz Tuning Fork ◽  
Image Features ◽  
Periodic Pattern ◽  
Reference Pattern ◽  
Phase Measurements

Vision is a convenient tool for position measurements. In this paper, we present several applications in which a reference pattern can be defined on the target for a priori knowledge of image features and further optimization by software. Selecting pseudoperiodic patterns leads to high resolution in absolute phase measurements. This method is adapted to position encoding of live cell culture boxes. Our goal is to capture each biological image along with its absolute highly accurate position regarding the culture box itself. Thus, it becomes straightforward to find again an already observed region of interest when a culture box is brought back to the microscope stage from the cell incubator where it was temporarily placed for cell culture. In order to evaluate the performance of this method, we tested it during a wound healing assay of human liver tumor-derived cells. In this case, the procedure enabled more accurate measurements of the wound healing rate than the usual method. It was also applied to the characterization of the in-plane vibration amplitude from a tapered probe of a shear force microscope. The amplitude was interpolated by a quartz tuning fork with an attached pseudo-periodic pattern. Nanometer vibration amplitude resolution is achieved by processing the pattern images. Such pictures were recorded by using a common 20x magnification lens.

scholarly journals Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges

2020 ◽  
Vol 2 (Supplement_4) ◽  
pp. iv3-iv14
Author(s):  
Niha Beig ◽  
Kaustav Bera ◽  
Pallavi Tiwari
Keyword(s):  
Treatment Response ◽  
A Priori ◽  
Point Mutations ◽  
Region Of Interest ◽  
Next Generation Sequencing Data ◽  
Tumor Segmentation ◽  
Sequencing Data ◽  
Statistical Correlations ◽  
Data Driven Approach ◽  
Mri Scans

Abstract Neuro-oncology largely consists of malignancies of the brain and central nervous system including both primary as well as metastatic tumors. Currently, a significant clinical challenge in neuro-oncology is to tailor therapies for patients based on a priori knowledge of their survival outcome or treatment response to conventional or experimental therapies. Radiomics or the quantitative extraction of subvisual data from conventional radiographic imaging has recently emerged as a powerful data-driven approach to offer insights into clinically relevant questions related to diagnosis, prediction, prognosis, as well as assessing treatment response. Furthermore, radiogenomic approaches provide a mechanism to establish statistical correlations of radiomic features with point mutations and next-generation sequencing data to further leverage the potential of routine MRI scans to serve as “virtual biopsy” maps. In this review, we provide an introduction to radiomic and radiogenomic approaches in neuro-oncology, including a brief description of the workflow involving preprocessing, tumor segmentation, and extraction of “hand-crafted” features from the segmented region of interest, as well as identifying radiogenomic associations that could ultimately lead to the development of reliable prognostic and predictive models in neuro-oncology applications. Lastly, we discuss the promise of radiomics and radiogenomic approaches in personalizing treatment decisions in neuro-oncology, as well as the challenges with clinical adoption, which will rely heavily on their demonstrated resilience to nonstandardization in imaging protocols across sites and scanners, as well as in their ability to demonstrate reproducibility across large multi-institutional cohorts.

A Critical Discussion of the Use of Antiseptics in Acute Traumatic Wounds

2005 ◽  
Vol 95 (2) ◽  
pp. 148-153 ◽  
Author(s):  
Robert G. Smith
Keyword(s):  
Patient Outcome ◽  
Cell Culture ◽  
Wound Healing ◽  
Case Studies ◽  
Emergency Departments ◽  
Current Practice ◽  
Human Case ◽  
Critical Discussion ◽  
Scientific Study ◽  
Potential Harm

Approximately 10 million patients with traumatic wounds are treated in US emergency departments annually. The practice of wound cleansing or antiseptic management has a dichotomous history anchored in tradition and science. The merits of antiseptic fluid irrigation of traumatic wounds have received little scientific study. The purpose of this article is to critically evaluate the potential harm to patient outcome by the use of antiseptics on acute wounds. First, animal and cell culture data that describe the effects of topical antiseptics on wound healing are offered. Second, human case studies are presented to illustrate the potential harm of the indiscriminate use of antiseptics. Finally, data from previously published reviews are presented and evaluated for clinically based evidence to justify the current practice of antiseptic use in acute traumatic wounds. (J Am Podiatr Med Assoc 95(2): 148–153, 2005)

scholarly journals Model-Based Analysis of Flow-Mediated Dilation and Intima-Media Thickness

2008 ◽  
Vol 2008 ◽  
pp. 1-10 ◽  
Author(s):  
G. Bartoli ◽  
G. Menegaz ◽  
M. Lisi ◽  
G. Di Stolfo ◽  
S. Dragoni ◽  
...  
Keyword(s):  
Low Cost ◽  
A Priori ◽  
Automatic Measurement ◽  
Intima Media Thickness ◽  
Image Features ◽  
Flow Mediated Dilation ◽  
User Friendliness ◽  
Real Time Processing ◽  
Media Thickness

We present an end-to-end system for the automatic measurement of flow-mediated dilation (FMD) and intima-media thickness (IMT) for the assessment of the arterial function. The video sequences are acquired from a B-mode echographic scanner. A spline model (deformable template) is fitted to the data to detect the artery boundaries and track them all along the video sequence. The a priori knowledge about the image features and its content is exploited. Preprocessing is performed to improve both the visual quality of video frames for visual inspection and the performance of the segmentation algorithm without affecting the accuracy of the measurements. The system allows real-time processing as well as a high level of interactivity with the user. This is obtained by a graphical user interface (GUI) enabling the cardiologist to supervise the whole process and to eventually reset the contour extraction at any point in time. The system was validated and the accuracy, reproducibility, and repeatability of the measurements were assessed with extensivein vivoexperiments. Jointly with the user friendliness, low cost, and robustness, this makes the system suitable for both research and daily clinical use.

TEXT LOCATION IN SCENE IMAGES USING VISUAL ATTENTION MODEL

2012 ◽  
Vol 26 (04) ◽  
pp. 1255008 ◽  
Author(s):  
QIAO-YU SUN ◽  
YUE LU
Keyword(s):  
Traditional Approach ◽  
Region Of Interest ◽  
Saliency Map ◽  
Image Features ◽  
Attention Model ◽  
Low Level ◽  
Edge Direction ◽  
Text Feature ◽  
Nature Scene ◽  
Direction Information

Locating text region from an image of nature scene is significantly helpful for better understanding the semantic meaning of the image, which plays an important role in many applications such as image retrieval, image categorization, social media processing, etc. Traditional approach relies on the low level image features to progressively locate the candidate text regions. However, these approaches often suffer for the cases of the clutter background since the adopted low level image features are fairly simple which may not reliably distinguish text region from the clutter background. Motivated by the recent popular research on attention model, salience detection is revisited in this paper. Based on the case of text detection on nature scene image, saliency map is further analyzed and is adjusted accordingly. Using the adjusted saliency map, the candidate text regions detected by the common low level features are further verified. Moreover, efficient low level text feature, Histogram of Edge-direction (HOE), is adopted in this paper, which statistically describes the edge direction information of the region of interest on the image. Encouraging experimental results have been obtained on the nature scene images with the text of various languages.

scholarly journals A High-Throughput Analysis Method to Detect Regions of Interest and Quantify Zebrafish Embryo Images

2010 ◽  
Vol 15 (9) ◽  
pp. 1152-1159 ◽  
Author(s):  
Xiaoyan Xu ◽  
Xiaoyin Xu ◽  
Xin Huang ◽  
Weiming Xia ◽  
Shunren Xia
Keyword(s):  
High Throughput ◽  
Neural Development ◽  
Zebrafish Embryo ◽  
A Priori ◽  
Region Of Interest ◽  
Real Data ◽  
Zebrafish Embryos ◽  
High Throughput Analysis ◽  
Single Experiment ◽  
Priori Information

Zebrafish is widely used to understand neural development and model various neurodegenerative diseases. Zebrafish embryos are optically transparent, have a short development period, and can be kept alive in microplates for days, making them amenable to high-throughput microscopic imaging. As a result of high-throughput experiments, a large number of images can be generated in a single experiment, posing a challenge to researchers to analyze them efficiently and quantitatively. In this work, we develop an image processing focused on detecting and quantifying pigments in zebrafish embryos. The algorithm automatically detects a region of interest (ROI) enclosing an area around the pigments and then segment the pigments for quantification. In this process, the algorithm identifies the head and torso at first, and then finds the boundaries corresponding to the back and abdomen by taking advantage of a priori information about the anatomy of zebrafish embryos. The method is robust in terms that it can detect and quantify pigments even when the embryos have different orientations and curvatures. We used real data to demonstrate the performance of the method to extract phenotypic information from zebrafish embryo images and compared its results with manual analysis for verification.

Skin cell culture and wound healing

2002 ◽  
Vol 10 (2) ◽  
pp. 109-112 ◽  
Author(s):  
BERNARD COULOMB ◽  
LOUIS DUBERTRET
Keyword(s):  
Cell Culture ◽  
Wound Healing ◽  
Skin Cell
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