A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Automatic Segmentation of Unstained Living Cells in Bright-Field Microscope Images
[chapter]
Lecture Notes in Computer Science
Preserved Fulltext
Therefore, this article introduces a novel approach for the robust automatic segmentation of unstained living cells in brightfield microscope images. ...
In an automated system, it is advantageous to locate and segment these cells in bright-field microscope images taken in parallel with the fluorescence micrographs. ...
So, we have developed a snake algorithm for the robust segmentation of Sf9 cells in bright-field microscope images as well as methods for its automatic initialisation which are described in the following ...
doi:10.1007/978-3-540-70715-8_13
fatcat:fxcstniuuzghxbzq4vaemhluiy
Recursive Additive Complement Networks for Cell Membrane Segmentation in Histological Images
2020
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
by using the RacNet.Three imaging methods, bright-field, dark-field, and phase-contrast, were used, as unstained sections show very low contrast in the bright-field imaging commonly used in pathological ...
A recursive additive complement network (RacNet) is introduced to segment cell membranes in histological images as closed lines. ...
Three imaging methods, bright-field, dark-field, and phase-contrast, were used in the experiments, as these methods are available in the optical microscopes used by pathologists. ...
doi:10.1109/embc44109.2020.9176126
pmid:33018249
fatcat:o2u2rqaaybhdvfbrn776gjaffi
Recognition of Unstained Live Drosophila Cells in Microscope Images
2007
International Machine Vision and Image Processing Conference (IMVIP 2007)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Based on previous work regarding cell recognition in bright-field images, we propose an approach to the automated recognition of unstained live Drosophila cells, which are of high biological relevance. ...
In order to achieve this goal, the original methods were extended to enable the additional application of an alternative microscopy technique, since the exclusive usage of bright-field images does not ...
Cells in bright-field and DIC microscope images are separated from other cells and the surrounding by their membrane. ...
doi:10.1109/imvip.2007.16
fatcat:wtx2ixmumzbhjk64lkfm27bnt4
Estimation of rheological parameters for unstained living cells
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
In order to squeeze the information on the intracellular flows, we propose an automatic method of reconstruction of intracellular flow velocity fields based only on a recorded video of an unstained cell ...
The directed component yields a velocity field, and, after fitting the vorticity equation, estimation of the spatially distributed effective viscosity. ...
Acknowledgements This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic project CENAKVA (LM2018099) and from the European Regional Development Fund in frame of the ...
arXiv:2006.07404v3
fatcat:q3rnltzgrvginmlu4y5lgtsoa4
Automated Training of Deep Convolutional Neural Networks for Cell Segmentation
2017
Scientific Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
However, automated segmentation of unstained cells imaged by bright-field microscopy is typically very challenging, and many of the common approaches, as reviewed by Meijering 1 , fail. ...
Finally, we use these automatically created segmentation results as labels along with the corresponding bright-field image data to train a DCNN (Fig. 1b) . ...
The microscope optics were aligned (Koelhlering) prior to imaging and only the center of the well was imaged in order to minimize distortions at the edges of the wells in the bright-field image. ...
doi:10.1038/s41598-017-07599-6
pmid:28798336
pmcid:PMC5552800
fatcat:hp6hqr4zxzgudawrriiacjb4ge
Quasi-spectral characterization of intracellular regions in bright-field light microscopy images
2020
Scientific Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Unsupervised clustering of the spectra yields reasonable semantic segmentation of unstained living cells without any a priori information about their structures. ...
This raises a question what maximal information can be extracted from ordinary (but well acquired) bright-field images in a model-free way. ...
project Kompetenzzentrum MechanoBiologie (ATCZ133) and Image Headstart (ATCZ215) in the Interreg V-A Austria-Czech Republic programme. ...
doi:10.1038/s41598-020-75441-7
pmid:33110166
fatcat:t6otrhgam5clngpcuym5g25t2i
Automatic detection of circulating tumor cells in darkfield microscopic images of unstained blood using boosting techniques
2018
PLoS ONE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this article, we present a new method that could be used for the automatic detection of CTC in blood, based on the microscopic appearance of unstained cells. ...
A dataset of 263 dark field microscopy images was constructed and used for our tests, containing blood spiked with three different types of tumor cells. ...
of cancer patients by means of image processing and pattern recognition) of the Ministry of National Education, project code PN-II-PT-PCCA-2013-4-2289, contract number 137/2014. ...
doi:10.1371/journal.pone.0208385
pmid:30543666
pmcid:PMC6292606
fatcat:qsublo5jtzbonj7ix4ageogxpm
Counting unstained, confluent cells by modified bright-field microscopy
2013
BioTechniques
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The technique allows robust, automatic cell counting from a single bright-field image in a wide range of focal positions; it does this via free, readily available image-analysis tools. ...
This method will allow routine cell counting using a plain bright-field microscope, absent cell-line modification or cell staining. ...
Acknowledgments The SH-EP cell line was a kind gift from R. König, F Westermann and M. Schwab (DKFZ, Heidelberg, Germany). We gratefully acknowledge the use of the fluorescence microscope of S. ...
doi:10.2144/000114056
pmid:23834382
pmcid:PMC3864689
fatcat:m3m3ng4bczh6fg44klcxjc6huy
Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Living cell segmentation from bright-field light microscopy images is challenging due to the image complexity and temporal changes in the living cells. ...
The main objective of this paper is to develop a deep learning, U-Net-based method to segment the living cells of the HeLa line in bright-field transmitted light microscopy. ...
The authors declare no conflict of interest, or known competing financial interests, or personal relationships that could have appeared to influence the work reported in this paper. ...
arXiv:2203.12290v2
fatcat:jowf57462raznf3vztaxb4dgmm
Optical tomography complements light sheet microscopy for in toto imaging of zebrafish development
2015
Development
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We found that the bright-field contrast of unstained specimens in a selective plane illumination microscopy (SPIM) setup can be exploited for in vivo tomographic reconstructions of the threedimensional ...
We report multimodal imaging of entire zebrafish embryos over several hours of development, as well as segmentation, tracking and automatic registration of individual organs. ...
Kainmüller for help with segmentation analysis and J. Swoger for discussions on data analysis.
Competing interests The authors have filed a patent that relates to some aspects of this work. ...
doi:10.1242/dev.116970
pmid:25655702
pmcid:PMC4352980
fatcat:4bgmnihp3fhvjdz2ah5odh4b6e
Tissue refractive index as marker of disease
2011
Journal of Biomedical Optics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The field of view is 2.0 cm × 2.4 cm. The size of the blowup (in red circle) is 630 μm × 340 μm. (a) Bright field image of unstained slice (montage of 4131 images). ...
with the same microscope via the bright field channel equipped with a color camera (see Fig. 1 in Ref. 42 for examples of unstained and stained tissue slides). ...
doi:10.1117/1.3656732
pmid:22112122
pmcid:PMC3223513
fatcat:e7ako752e5gbnmhxbswoeb5drq
SEMANTIC ANALYSIS OF BIOLOGICAL IMAGING DATA: CHALLENGES AND OPPORTUNITIES
2007
International Journal of Semantic Computing (IJSC)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Microscopic imaging is one of the most common techniques for investigating biological systems. ...
In recent years there has been a tremendous growth in the volume of biological imaging data owing to rapid advances in optical instrumentation, high-speed cameras and fluorescent probes. ...
The dyes used in bright-field imaging selectively absorb a portion of the light passing through. ...
doi:10.1142/s1793351x07000032
fatcat:dfh2qe3u3ffhjo7c2deotxh73i
Unstained viable cell recognition in phase-contrast microscopy
2011
Opto-Electronics Review
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Overlapping ROIs sliding in steps over the captured grayscale image are firstly pre-classified and potential cell markers for the segmentation are obtained. ...
At INFN-LNL facility cell visualization system is based on a phase-contrast optical microscope, without the use of any cell dye. ...
viewing of unstained living cells and of their intracellular structures and overcoming the limits of both the optical bright−field microscopy (where cells appear almost fully transparent) and the fluorescence ...
doi:10.2478/s11772-011-0015-5
fatcat:lycuwjfrjbasda3ovooirxqz4u
Maximizing Kolmogorov Complexity for accurate and robust bright field cell segmentation
2014
BMC Bioinformatics
Preserved Fulltext
The Internet Archive has a preservation copy of this work in our general collections.
The file type is application/pdf.
However bright field images lack the contrast and nuclei reporting available with florescent approaches and therefore present a challenge to methods that segment and track the live cells. ...
Analysis of cellular processes with microscopic bright field defocused imaging has the advantage of low phototoxicity and minimal sample preparation. ...
Research reported in this publication was partially supported by the National Institute Of General Medical Sciences of the National Institutes of Health under Award Number P50GM076547. ...
doi:10.1186/1471-2105-15-32
pmid:24475950
pmcid:PMC3922779
fatcat:mvx5caaksbb2regrskw4ugqlee
Ptychography – a label free, high-contrast imaging technique for live cells using quantitative phase information
2013
Scientific Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We also acknowledge Andrew King (University of York) for preliminary experimental work and the Imaging and Cytometry Laboratory especially Ian Morrison (Bioscience Technology Facility, University of York ...
To study the efficacy of ptychographic imaging in more detail, unstained cells were imaged in different states. ...
At the beginning of the time course there were 56 cells in the imaged field and after 10 h the 121st image contained 101 cells demonstrating that the majority of cells in the field of view had entered ...
doi:10.1038/srep02369
pmid:23917865
pmcid:PMC3734479
fatcat:x6endqxms5b35e3jmrnm4cf3bi
« Previous
Showing results 1 — 15 out of 511 results