Microscopic Cell Detection Based on Multiple Cell Image Segmentations and Fusion Algorithms

Author(s):  
Eric Dahai Cheng ◽  
Subhash Challa ◽  
Rajib Chakravorty
eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Martin Hailstone ◽  
Dominic Waithe ◽  
Tamsin J Samuels ◽  
Lu Yang ◽  
Ita Costello ◽  
...  

A major challenge in cell and developmental biology is the automated identification and quantitation of cells in complex multilayered tissues. We developed CytoCensus: an easily deployed implementation of supervised machine learning that extends convenient 2D ‘point-and-click’ user training to 3D detection of cells in challenging datasets with ill-defined cell boundaries. In tests on such datasets, CytoCensus outperforms other freely available image analysis software in accuracy and speed of cell detection. We used CytoCensus to count stem cells and their progeny, and to quantify individual cell divisions from time-lapse movies of explanted Drosophila larval brains, comparing wild-type and mutant phenotypes. We further illustrate the general utility and future potential of CytoCensus by analysing the 3D organisation of multiple cell classes in Zebrafish retinal organoids and cell distributions in mouse embryos. CytoCensus opens the possibility of straightforward and robust automated analysis of developmental phenotypes in complex tissues.


2019 ◽  
Vol 9 (10) ◽  
pp. 2080
Author(s):  
Yuan Fang ◽  
Ningmei Yu ◽  
Yuquan Jiang

The lensless imaging technique, which integrates a microscope into a complementary metal oxide semiconductor (CMOS) digital image sensor, has become increasingly important for the miniaturization of biological microscope and cell detection equipment. However, limited by the pixel size of the CMOS image sensor (CIS), the resolution of a cell image without optical amplification is low. This is also a key defect with the lensless imaging technique, which has been studied by a many scholars. In this manuscript, we propose a method to improve the resolution of the cell images using the Brownian motion of living cells in liquid. A two-step algorithm of motion estimation for image registration is proposed. Then, the raw holographic images are reconstructed using normalized convolution super-resolution algorithm. The result shows that the effect of the collected cell image under the lensless imaging system is close to the effect of a 10× objective lens.


1979 ◽  
Vol 27 (1) ◽  
pp. 604-612 ◽  
Author(s):  
W Abmayr ◽  
G Burger ◽  
H J Soost

Two methods for high resolution cell image data acquisition are applied routinely. Cells are either scanned by a computer controlled fast scanning microscope photometer (SMP) or a TV-camera. The software system for digital image analysis was completely revised and implemented on the PR 330 minicomputer. The system contains codes for primary cell data acquisition, segmentation of cells, cell feature extraction and statistical cell analysis. With this system, SMP and TV scanned cell data bases of PAP stained cells in vaginal smears, grouped into several classes, have been built up. Each data base contains 34 primary features and 20 feature combinations for each cell. A linear discriminant analysis is applied routinely for cell classification. The present state of the system and its operation are described, cell features and classification results are shown, and future steps for a prescreening strategy are discussed.


2021 ◽  
Author(s):  
Xiu xin Wang ◽  
Hao wang ◽  
Guan Fu ◽  
Jiwei Ling

Abstract Background: As an important research direction in cell image processing, Computer Hologram(CH) can quantitatively detect and analyze the amplitude and phase information of cells and holographic reconstruct the recorded images. Compared with the traditional optical microscope, CH reduces the complexity of operation, avoids the operation of cell staining and does not affect the physiological characteristics of cells in the recording process. It plays an important role in the field of cell morphology measurement and deformation analysis. Results: An improved Gerchberg-Saxton (GS) algorithm is proposed to reconstruct cell hologram based on phase information. The cell image reconstructed by GS Algorithm with phase restricted conditions are analyzed and compared. Through the comparative experiments of different models, it shows that the improved GS algorithm is better than the traditional GS algorithm in cell image reconstruction based on phase information. With the improved algorithm of phase mapping and normalization conditions, the reconstructed image can distinguish the cell edge information and high signal-to-noise ratio information. The urine sediment image is taken as the experimental object. After reconstruction by this algorithm, other impurity cells can be filtered out, and the aberrant red blood cell image with clear edge can be obtained. This improved algorithm provides a new application for cell detection in clinical diagnosis.Conclusions: The phase map reflects the temporal and spatial information of the image, determines the time or spatial position where different frequency signals appear, and describes the overall shape of the object. Due to biological cells generally for phase type or class phase objects, the improved GS algorithm in this paper can well describe the phase information of restored image, which is more suitable for the practical application of cell phase reconstruction.


Author(s):  
Ann LeFurgey ◽  
Peter Ingram ◽  
J.J. Blum ◽  
M.C. Carney ◽  
L.A. Hawkey ◽  
...  

Subcellular compartments commonly identified and analyzed by high resolution electron probe x-ray microanalysis (EPXMA) include mitochondria, cytoplasm and endoplasmic or sarcoplasmic reticulum. These organelles and cell regions are of primary importance in regulation of cell ionic homeostasis. Correlative structural-functional studies, based on the static probe method of EPXMA combined with biochemical and electrophysiological techniques, have focused on the role of these organelles, for example, in maintaining cell calcium homeostasis or in control of excitation-contraction coupling. New methods of real time quantitative x-ray imaging permit simultaneous examination of multiple cell compartments, especially those areas for which both membrane transport properties and element content are less well defined, e.g. nuclei including euchromatin and heterochromatin, lysosomes, mucous granules, storage vacuoles, microvilli. Investigations currently in progress have examined the role of Zn-containing polyphosphate vacuoles in the metabolism of Leishmania major, the distribution of Na, K, S and other elements during anoxia in kidney cell nuclel and lysosomes; the content and distribution of S and Ca in mucous granules of cystic fibrosis (CF) nasal epithelia; the uptake of cationic probes by mltochondria in cultured heart ceils; and the junctional sarcoplasmic retlculum (JSR) in frog skeletal muscle.


2020 ◽  
Vol 11 (01) ◽  
Author(s):  
Madhu Bala ◽  
Neetu Chaudhary

In the current time, the use of technologies has become propensity more than necessity. Nobody has gotten away from them nor left youth or old. It's totally relying upon us How to utilize it? One such live innovation is a Smartphone. At only one touch we approach any data about the entire world. It is very easy to carry in our pocket so everyone can use it anytime whenever. Smartphone has some constructive as well as some cynical aspects too. Nomophobia is a negative face of the smartphone. Nomophobia is the irrational dread of being without cell phones or being not able to utilize phones (situational phobia) for some reason such as some signal or battery issues. Theprimary point of the current research is to find out the proportion of Nomophobia among understudies with regardof gender and age in Agra city. For this purpose, a total number of 300 students were selected by randomization (150 males and 150 females) from the age scope of 15-20 years. The data was taken by using a self-administered questionnaire NMP-Q developed by Yilidirim and Correia. The obtained data were analyzed using descriptive statistics, Mean and Chi-square. Results revealed that there is a significant difference between male and female score on nomophobia. The other result indicates that early adolescents positively related to Nomophobia as compare to late adolescents. In India, one person can use multiple cell phones. There is no minimum age to use mobile phones. It is adding fuel to the pre-existing problem of Nomophobia. Telecom Administrative Authority of India (TRAI) should assume a functioning job by making an arrangement/law that "setting based methodology" on cell phone limitations among individuals ought to be followed. A demonstration will be detailed, under this demonstration. There ought to choose the least age for portable use. It will assist a great deal with curbing the circumstance.


2013 ◽  
Vol E96.C (4) ◽  
pp. 511-517 ◽  
Author(s):  
Kuiyuan ZHANG ◽  
Jun FURUTA ◽  
Ryosuke YAMAMOTO ◽  
Kazutoshi KOBAYASHI ◽  
Hidetoshi ONODERA

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 298-OR
Author(s):  
THIAGO M. BATISTA ◽  
NICOLAI J. WEWER ALBRECHTSEN ◽  
JULEEN R. ZIERATH ◽  
MATTHIAS MANN ◽  
C. RONALD KAHN

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