Leukocyte cells identification and quantitative morphometry based on molecular hyperspectral imaging technology

Li, Qingli; Wang, Yiting; Liu, Hongying; He, Xiaofu; Xu, Dongrong; Wang, Jianbiao; Guo, Fangmin

doi:10.1016/j.compmedimag.2013.12.008

Cited by 26 publications

(21 citation statements)

References 24 publications

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“…The idea is further modified considering it as an ellipse fitting problem optimized using differential evolution (DE) technique [7], [8]. In [11], an imaging system based upon acousto-optic tunable filter has been proposed to detect the WBCs. However, the existing methods [2][3][4][5][6][7][8], [11] have limited accuracy in the detection of overlapping cells.…”

Section: Introductionmentioning

confidence: 99%

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Overlapping White Blood Cells Detection Based on Watershed Transform and Circle Fitting

Sukhia¹,

Riaz²,

Ghafoor³

et al. 2017

RADIOENGINEERING

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Section: Introductionmentioning

confidence: 99%

“…In [11], an imaging system based upon acousto-optic tunable filter has been proposed to detect the WBCs. However, the existing methods [2][3][4][5][6][7][8], [11] have limited accuracy in the detection of overlapping cells. In [12], a circle detection algorithm has been used to count red blood cells (RBCs) and WBCs.…”

Section: Introductionmentioning

confidence: 99%

Overlapping White Blood Cells Detection Based on Watershed Transform and Circle Fitting

Sukhia¹,

Riaz²,

Ghafoor³

et al. 2017

RADIOENGINEERING

View full text Add to dashboard Cite

show abstract

“…These requirements present new and unique challenges that will require clinical testing, IRB approval, and a robust dataset. Some of the challenges set forth have been met from the work of systems implementing similar technologies [10]- [12]. However, there are many other prerequisites that must be met before any testing can be planned or approved.…”

Section: ) a Data Processing And Classification Technique That May mentioning

confidence: 99%

“…Since the advent of small and inexpensive imaging components, the applications of hyperspectral imagery have branched out into the agricultural [17] and medical fields [11], [12], [18]. Systems that provide automated quality control on food processing lines and pharmaceutical production labs have become increasingly popular [41], [42].…”

Section: Hyperspectral Imagerymentioning

confidence: 99%

“…Prior works explored several feature extraction, as well as classification, techniques in an attempt to find an algorithm that could be applied to identifying blood cells. The focus of this research was the identification of morphological differences of cells infected with different diseases [12]. Blood smears were imaged utilizing a scanning hyperspectral imaging system with an Acousto-Optical Tuneable Filter (AOTF).…”

Section: Leukocyte Identification Based On Molecular Hs Imagingmentioning

confidence: 99%

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Imaging White Blood Cells using a Snapshot Hyper-Spectral Imaging System

Robison¹

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An autofocus algorithm considering wavelength changes for large scale microscopic hyperspectral pathological imaging system

Zhang

Wang

et al. 2022

Journal of Biophotonics

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Microscopic hyperspectral imaging technology has been widely used to acquire pathological information of tissue sections.Autofocus is one of the most important steps in microscopic hyperspectral imaging systems to capture large scale or even whole slide images of pathological slides with high quality and high speed. However, there are quite few autofocus algorithm put forward for the microscopic hyperspectral imaging system. Therefore, this article proposes a Laplace operator based autofocus algorithm for microscopic hyperspectral imaging system which takes the influence of wavelength changes into consideration. Through the proposed algorithm, the focal length for each wavelength can be adjusted automatically to ensure that each single band image can be autofocused precisely with adaptive image sharpness evaluation method. In addition, to increase the capture speed, the relationship of wavelength and focal length is derived and the focal offsets among different single band images are calculated for pre-focusing. We have employed the proposed method on our own datasets and the experimental results show that it can capture large-scale microscopic hyperspectral pathology images with high precise.

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Leukocyte cells identification and quantitative morphometry based on molecular hyperspectral imaging technology

Cited by 26 publications

References 24 publications

Overlapping White Blood Cells Detection Based on Watershed Transform and Circle Fitting

Overlapping White Blood Cells Detection Based on Watershed Transform and Circle Fitting

Imaging White Blood Cells using a Snapshot Hyper-Spectral Imaging System

An autofocus algorithm considering wavelength changes for large scale microscopic hyperspectral pathological imaging system

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