scholarly journals M7 subtype leukemic cell edge detection techniques with threshold value comparison and noise filters

2019 ◽  
Vol 13 (3) ◽  
pp. 1294
Author(s):  
A.S.A. Salam ◽  
M.N.M. Isa ◽  
M.I. Ahmad
Keyword(s):  
Edge Detection ◽  
Leukemic Cell ◽  
Threshold Value ◽  
Acute Myelocytic Leukemia ◽  
Threshold Values ◽  
Detection Techniques ◽  
Myelocytic Leukemia ◽  
Edge Detectors ◽  
Canny Edge ◽  
Noise Filters

The aim of this paper is to study and identify various threshold values for two prevalently used edge detection techniques, which are Sobel and Canny. The purpose is to determine which value gives an accurate result for identifying a leukemic cell. Moreover, evaluating suitability of edge detectors is also essential as feature extraction of cell depends greatly on image segmentation (edge detection). Firstly, an image of M7 subtype of Acute Myelocytic Leukemia (AML) is selected due to its diagnosing which were found lacking. Next, apply noise filters for the best of image quality. Thus by comparing image with no filter, median and average filters, useful information can be acquired. Each edge detectors is fixed with threshold value of 0-0.5 but for Cann edge detection the value can increase until 0.9. From the research, it is found that Canny edge with no filter and a threshold value of 0.7 gives a clearer image with less noise reduction.

scholarly journals Comparison of edge detection techniques for M7 subtype Leukemic cell in terms of noise filters and threshold value

2017 ◽  
Vol 162 ◽  
pp. 01074
Author(s):  
Afifah Salmi Abdul Salam ◽  
Mohd. Nazrin Md. Isa ◽  
Muhammad Imran Ahmad ◽  
Rizalafande Che Ismail
Keyword(s):  
Edge Detection ◽  
Leukemic Cell ◽  
Threshold Value ◽  
Detection Techniques ◽  
Noise Filters

scholarly journals EDGE DETECTION PARAMETER OPTIMIZATION BASED ON THE GENETIC ALGORITHM FOR RAIL TRACK DETECTION

2019 ◽  
Vol 17 (3) ◽  
pp. 333 ◽  
Author(s):  
Milan Pavlović ◽  
Vlastimir Nikolić ◽  
Miloš Simonović ◽  
Vladimir Mitrović ◽  
Ivan Ćirić
Keyword(s):  
Genetic Algorithm ◽  
Edge Detection ◽  
Threshold Value ◽  
High Threshold ◽  
Threshold Values ◽  
Detection Error ◽  
Edge Detector ◽  
Rail Track ◽  
Canny Edge

One of the most important parameters in an edge detection process is setting up the proper threshold value. However, that parameter can be different for almost each image, especially for infrared (IR) images. Traditional edge detectors cannot set it adaptively, so they are not very robust. This paper presents optimization of the edge detection parameter, i.e. threshold values for the Canny edge detector, based on the genetic algorithm for rail track detection with respect to minimal value of detection error. First, determination of the optimal high threshold value is performed, and the low threshold value is calculated based on the well-known method. However, detection results were not satisfactory so that, further on, the determination of optimal low and high threshold values is done. Efficiency of the developed method is tested on set of IR images, captured under night-time conditions. The results showed that quality detection is better and the detection error is smaller in the case of determination of both threshold values of the Canny edge detector.

Apoptosis Was Induced by Casticin in Acute Myelocytic Leukemia Cells

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 3991-3991
Author(s):  
Jie Jin ◽  
Jia-Kun Shen ◽  
Hua-ping Du ◽  
Min Yang ◽  
Yun-Gui Wang
Keyword(s):  
Cell Cycle ◽  
Flow Cytometry ◽  
Cell Death ◽  
Leukemic Cell ◽  
K562 Cells ◽  
Acute Myelocytic Leukemia ◽  
Myelocytic Leukemia ◽  
Cycle Arrest ◽  
M Phase ◽  
Ic50 Values

Abstract Casticin, a component from Vitex rotundifolia wich was widely used as an anti-inflammatory agent in Chinese traditional medicine, was reported to have anti-tumor activities in lung cancer and breast cancer. There are yet no reports on roles against acute myelocytic leukemia (AML). This study aims to elucidate the anti-leukemic activity of casticin on AML cells. We investigated the efficient efficacy and the mechanisms by which casticin triggers cell death in AML cells by analyzing cell cycle perturbations, apoptosis-related marker expression. Cell viability was measured by MTT method; apoptosis and cell cycle arrest were determined by flow cytometry and AV-PI assay. Western blot was performed to measure the apoptosis-related marker. Concentration-dependant cell deaths were observed in AML cell lines including K562, U937 and THP-1, with IC50 values of 24h (hours) being 47.4μM, 67.8μM and 61.7μM, respectively. Time-dependant cell deaths were also observed. At the concentration of 20μM casticin, 45.7%, 76.1% and 80.9% of K562 cells were inhibited at 24h, 48h and 72h, respectively; 24.7%, 30% and 61% of U937 cells were inhibited at 24h, 48h and 72h, respectively; while for THP-1, 29%, 41.8% and 53.9% were inhibited at 24h, 48h and 72h, respectively. Apoptosis was found using AV-PI staining by flow cytometry analysis. We observed an obvious G2/M phase increase prolongation in casticin treated K562 cells. BThe distribitions of G2/M phase were 2.9%, 33.6%, 75.3%, 54.9%, 29.7% and 27.0% in K562 cells after treated by 20μM casticin for 0h, 6h, 12h, 24h, 36h and 48h, respectively. Furthermore, apoptosis-related proteins, PARP and caspase 3, were cleaved in casticin treated K562 cells. Taken together, these results demonstrated that casticin can induce leukemic cell death through apoptosis, suggesting that casticin could be a promising therapeutic agent against acute myeloid leukemia.

In Vitro Induction of Differentiation in HL-60 Leukemic Cell Line by Clerodendron Fragrans

1988 ◽  
Vol 16 (03n04) ◽  
pp. 139-144 ◽  
Author(s):  
Po-min Chen ◽  
Lin-lin Yung ◽  
Kuo-I Hsiao ◽  
Chien-ming Chen ◽  
Hsin-mei Yeh ◽  
...  
Keyword(s):  
Cell Line ◽  
Chinese Herb ◽  
Leukemic Cell ◽  
Myeloid Differentiation ◽  
Acute Myelocytic Leukemia ◽  
Myelocytic Leukemia ◽  
Therapeutic Value ◽  
Induction Of Differentiation ◽  
In Vitro Induction

The promyelocytic cell line HL-60 could be induced to differentiate into morphologically and functionally mature monocytoid cells (up to 20%) following exposure to the Chinese herb Clerodendron Fragrans (1 mg/ml). This effect was time dependent and appeared to work synergistically with interferon-r in this promotion of differentiation. Our study suggests that Clerodendron Fragrans has potential therapeutic value for the treatment of certain acute myelocytic leukemia putatively caused by a block in the myeloid differentiation process.

Early Fire Detection of Large Space Combining Thresholding with Edge Detection Techniques

2010 ◽  
Vol 44-47 ◽  
pp. 2060-2064
Author(s):  
Guo Liang Hu ◽  
Xi Jiang
Keyword(s):  
Image Segmentation ◽  
Edge Detection ◽  
Fire Detection ◽  
Image Features ◽  
Large Space ◽  
Detection Techniques ◽  
Edge Detectors ◽  
Otsu’S Method ◽  
Image Edges ◽  
Early Fire Detection

Image segmentation is a crucial step of the early fire detection in large space based on image processing technology. The image edges contain abundant feature information, and the edge detection has been a main topic of image segmentation algorithm. In this paper, several kinds of traditional edge detectors have been used to detect the edge of frame target in the fire video images, and the results have been contrasted and analyzed. Considering the influence of breaks in the edge caused by noise, nonuniform illumination and spurious intensity discontinuities, proposing the method of combining thresholding with edge detection, using Otsu’s method to compute a threshold for segmentation, extracting the flame area from the background, and then using the traditional edge detectors to detect the flame edge. At the same time, the simulation results based on the MATLAB kits indicate that this kind of method has good effectiveness and strong robustness, the detected flame edges have better effect in integrality and definition, and the relevant result can be the basis of the subsequent extraction and analysis of the fire image features as well as the space positioning of the fire.

scholarly journals Improved Canny Edge Detection Technique using S-Membership Function

2019 ◽  
Vol 8 (6) ◽  
pp. 43-49 ◽  
Keyword(s):  
Edge Detection ◽  
Membership Function ◽  
Detection Algorithm ◽  
Superior Performance ◽  
Threshold Values ◽  
Canny Edge Detection ◽  
Edge Detection Algorithm ◽  
Canny Edge ◽  
Canny Algorithm ◽  
Canny Edge Detection Algorithm

Traditional Canny edge detection algorithm is sensitive to noise, hence it may lose the weak edge information after noise removal and show poor adaptability of fixed parameters like threshold values. In view of these problems, this paper reports on the modification of canny edge detection algorithm using s-membership function. Adaptability of threshold values are achieved through S-membership function and is given as input to default Canny algorithm. The grayscale images have been analyzed for default Canny and modified Canny algorithm. To understand the performance of these algorithms it is essential to evaluate various statistical metrics. The proposed work states that the detailed statistical results and the images obtained reveal the superior performance of the modified Canny algorithm over the default Canny edge detection algorithm. Further the images obtained from modified Canny algorithm shows the marked edges with efficient image edge extraction and provide accurate information for image measurement.

scholarly journals Edge Detection Using Distinct Particle Swarm Optimization

2019 ◽  
Vol 8 (9) ◽  
pp. 1050-1057
Keyword(s):  
Particle Swarm Optimization ◽  
Edge Detection ◽  
Shape Matching ◽  
Particle Swarm ◽  
Ground Truth ◽  
Edge Image ◽  
Swarm Optimization ◽  
Detection Techniques ◽  
Edge Detectors ◽  
Distinct Particle

Edge detection is long-established in computer perception approach such as object detection, shape matching, medical image classification etc. For this reason many edge detectors like, Sobel, Robert, Prewitt, Canny etc. has been progressed to increase the effectiveness of the edge pixels. All these approaches work fine on images having minimum variation in intensity. Therefore, a new objective function based distinct particle swarm optimization (DPSO) is proposed in this paper to identify unbroken edges in an image. The conventional edge detectors such as “Canny” & computational intelligent techniques like ACO, GA and PSO are compared with proposed algorithm. Precision, Recall & F-Score is used as performance parameters for these edge detection techniques. The ground truth images are taken as reference edge images and all the edge images acquired by different edge detection systems are contrasted with reference edge image with ascertain the Precision, Recall and F-Score. The techniques are tested on 500 test images from the “BSD500” datasets. The empirical results presented by the proposed algorithm performance better than other edge detection techniques in the images. The proposed method observes edges more accurately and smoothly than other edge detection techniques such as “Canny, ACO, GA and PSO” in different images

scholarly journals Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6380
Author(s):  
Alexander Ze Hwan Ooi ◽  
Zunaina Embong ◽  
Aini Ismafairus Abd Hamid ◽  
Rafidah Zainon ◽  
Shir Li Wang ◽  
...  
Keyword(s):  
Blood Vessel ◽  
Edge Detection ◽  
Vessel Segmentation ◽  
Fundus Photography ◽  
Fundus Image ◽  
Detection Techniques ◽  
Blood Vessel Segmentation ◽  
Retinal Fundus Image ◽  
Canny Edge ◽  
Retinal Fundus

Optometrists, ophthalmologists, orthoptists, and other trained medical professionals use fundus photography to monitor the progression of certain eye conditions or diseases. Segmentation of the vessel tree is an essential process of retinal analysis. In this paper, an interactive blood vessel segmentation from retinal fundus image based on Canny edge detection is proposed. Semi-automated segmentation of specific vessels can be done by simply moving the cursor across a particular vessel. The pre-processing stage includes the green color channel extraction, applying Contrast Limited Adaptive Histogram Equalization (CLAHE), and retinal outline removal. After that, the edge detection techniques, which are based on the Canny algorithm, will be applied. The vessels will be selected interactively on the developed graphical user interface (GUI). The program will draw out the vessel edges. After that, those vessel edges will be segmented to bring focus on its details or detect the abnormal vessel. This proposed approach is useful because different edge detection parameter settings can be applied to the same image to highlight particular vessels for analysis or presentation.

Automic Edge Detection in Noisy Fringe Patterns: A Practical Approach

2012 ◽  
Author(s):  
Mani Maran Ratnam
Keyword(s):  
Edge Detection ◽  
Threshold Value ◽  
Practical Approach ◽  
Fringe Projection ◽  
Edge Detector ◽  
Noise Levels ◽  
Detection Techniques ◽  
Real Objects ◽  
Fringe Patterns ◽  
Binary Edge

Corak-corak pinggir biasanya dikaji dengan menggunakan tingkap yang ditakrifkan awal kerana kesukaran mencari sempadannya. Hal ini berlaku kerana pinggir-pinggir tersebut biasanya mempunyai keamatan minimum yang serupa dengan keamatan latar belakang dan adalah sukar untuk menentukan di mana sesuatu pinggir bermula dan berakhir. Kehadiran pinggir-pinggir boleh menyebabkan ralat dalam pengesanan sempadan dengan menggunakan kaedah-kaedah pengesanan sempadan yang sedia ada. Kertas kerja ini membentangkan suatu pendekatan praktik ke arah pengesanan automatik sempadan corak pinggir berhingar dengan paras hingar yang berbeza. Teknik tersebut menggunakan operasi-operasi morfologi pengembangan dan penghakisan serta pengesan sempadan binari kejiranan mudah. Nilai ambang yang diperlukan dalam operasi binarisasi ditentukan daripada hubungkait linear antara nilai ambang dengan sisihan piawai hingar Gaussian daripada kajian simulasi. Teknik tersebut kemudian dilaksanakan dengan jayanya pada corak-corak pinggir pada beberapa objek sebenar yang didapati melalui kaedah pengunjuran pinggir. Beberapa kelemahan kaedah tersebut dibincangkan. Kata kunci: Pengesanan sempadan, corak pinggir Fringe patterns are usually analyzed using a predefined window due to the difficulty associated with finding their edges. This is because, the fringes usually have minimum intensities similar to that of the background and it is difficult to determine where a fringe starts or ends. The presence of the fringes can therefore lead to errors in detecting the edges of the object when using existing edge detection techniques. This paper presents a practical approach towards the automatic detection of the edges of a noisy fringe pattern having different noise levels. The technique uses the dilation and erosion morphological operators combined with a simple neighborhood binary edge detector. The threshold required for the binarization operation is determined from a linear relationship between the threshold value and the standard deviation of Gaussian noise from a simulation study. The proposed technique has been successfully applied to fringe patterns on real objects obtained using the fringe projection method. Some of the limitations of the technique are discussed. Key words: Edge detection; fringe patterns

Establishment and Characterization of a Human Acute Myelocytic Leukemic Cell Line, SH-2, Carrying t(16;17)(q24;q12).

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 4278-4278
Author(s):  
Hui Y. Qiu ◽  
Yong Q. Xue ◽  
Jin L. Pan ◽  
Ya F. Wu ◽  
Jun Zhang ◽  
...  
Keyword(s):  
Cell Line ◽  
Leukemia Cell ◽  
Leukemic Cell ◽  
P53 Gene ◽  
Leukemia Cell Line ◽  
Acute Myelocytic Leukemia ◽  
Rt Pcr ◽  
Leukemic Cell Line ◽  
Myelocytic Leukemia

Abstract We present a novel human myeloid leukemic cell line, designated as SH-2 which was established from the bone marrow of a patient with acute myelocytic leukemia (AML-M2a) carrying t(16;17)(q24;q12) translocation. The cell line has proliferated continuously in vitro for more than 12 months. Its morphology showed typical features of acute myelocytic leukemia (AML). The cell line’s immunoprofile was accordant with AML (positivity for CD13, CD33, CD38, CD117, CD16, CD56 and MPO). Karyotypic analysis revealed the translocation t(16;17)(q24;q12), monosomy 17 and trisomy 19. The apoptosis related genes such as bcl-2, Fas and GST-πtranscription were detected by RT-PCR. Meanwhile, MDR1, MRP and LRP transcription were not detected by RT-PCR. The deletion of p53 gene and the translocation between chromosomes 16 and 17 were confirmed by FISH method. The SH-2 cells grew colonies in in vitro methylcellulose cultures. Tumor masses were found in 1/2 mice injected by the tail vein with the SH-2 cell line after two months. Infection of the EBV and the mycoplasma were also excluded. Cell line authentication by STR showed that the primary leukemia cell of the patient and the SH-2 cell line originated from same individual. SH-2 cells were proliferated by the addition of cytokines such as IL-3, GM-CSF and SCF. two point mutations in exon 5 of the p53 gene were detected in the SH-2 cells by PCR analysis and direct sequencing showing the conversion of T to G in both codon 349 and 417. The establishment of an myelocytic leukemia cell line with t(16;17)(q24;q12) could be valuable for the study of leukemogenesis and for the research of cloning the new gene involved in the t(16;17)(q24;q12) translocation.

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