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Year Number of Results
1992 1
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2006 2
2007 2
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2011 3
2012 5
2013 10
2014 4
2015 6
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2018 4
2019 2
2020 9
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73 results

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Page 1
Autofocusing and image fusion for multi-focus plankton imaging by digital holographic microscopy.
Tang M, Liu C, Wang XP. Tang M, et al. Appl Opt. 2020 Jan 10;59(2):333-345. doi: 10.1364/AO.59.000333. Appl Opt. 2020. PMID: 32225311
Digital holographic microscopy is becoming increasingly useful for the analysis of marine plankton. ...This work has practical value for plankton imaging using digital holographic microscopy....
Digital holographic microscopy is becoming increasingly useful for the analysis of marine plankton. ...This work has pr …
Automated three-dimensional microbial sensing and recognition using digital holography and statistical sampling.
Moon I, Yi F, Javidi B. Moon I, et al. Sensors (Basel). 2010;10(9):8437-51. doi: 10.3390/s100908437. Epub 2010 Sep 9. Sensors (Basel). 2010. PMID: 22163664 Free PMC article. Review.
For 3D recognition of the biological specimen, a watershed image segmentation algorithm is applied to automatically remove the unnecessary background parts in the reconstructed holographic image. Statistical estimation and inference algorithms are developed t …
For 3D recognition of the biological specimen, a watershed image segmentation algorithm is applied to automatically remove the …
Holography microscopy as an artifact-free alternative to phase-contrast.
Pastorek L, Venit T, Hozák P. Pastorek L, et al. Histochem Cell Biol. 2018 Feb;149(2):179-186. doi: 10.1007/s00418-017-1610-4. Epub 2017 Nov 28. Histochem Cell Biol. 2018. PMID: 29185051
Holography microscopy (HM) is one of the quantitative phase imaging techniques, which has been finding new applications in life science, especially in morphological screening, cell migration, and cancer research. ...In this comparative study, we …
Holography microscopy (HM) is one of the quantitative phase imaging techniques, which has been finding ne …
Characterising live cell behaviour: Traditional label-free and quantitative phase imaging approaches.
Kasprowicz R, Suman R, O'Toole P. Kasprowicz R, et al. Int J Biochem Cell Biol. 2017 Mar;84:89-95. doi: 10.1016/j.biocel.2017.01.004. Epub 2017 Jan 20. Int J Biochem Cell Biol. 2017. PMID: 28111333 Free article. Review.
Label-free imaging uses inherent contrast mechanisms within cells to create image contrast without introducing dyes/labels, which may confound results. Quantitative phase imaging is label-free and offers higher content and contrast compared to t …
Label-free imaging uses inherent contrast mechanisms within cells to create image contrast without introducing dyes/labels, wh …
Quantitation of ER Structure and Function.
Fricker M, Heaton L, Jones N, Obara B, Müller SJ, Meyer AJ. Fricker M, et al. Methods Mol Biol. 2018;1691:43-66. doi: 10.1007/978-1-4939-7389-7_5. Methods Mol Biol. 2018. PMID: 29043669
The structure of the network, and the morphology of the tubules and cisternae can be automatically extracted following intensity-independent edge-enhancement and various segmentation techniques to give an initial pixel-based skeleton, which is then converted to a graph rep …
The structure of the network, and the morphology of the tubules and cisternae can be automatically extracted following intensity-independent …
Quantifying Intracellular Particle Flows by DIC Object Tracking.
Chaphalkar AR, Jawale YK, Khatri D, Athale CA. Chaphalkar AR, et al. Biophys J. 2021 Feb 2;120(3):393-401. doi: 10.1016/j.bpj.2020.12.013. Epub 2021 Jan 11. Biophys J. 2021. PMID: 33359170 Free PMC article.
The development of robust computational image-analysis routines is vital to quantitative label-free imaging. The reliability of quantitative analysis of time-series microscopy data based on single-particle tracking relies on accura …
The development of robust computational image-analysis routines is vital to quantitative label-free imaging. The …
Cellular analysis using label-free parallel array microscopy with Fourier ptychography.
Wakefield DL, Graham R, Wong K, Wang S, Hale C, Yu CC. Wakefield DL, et al. Biomed Opt Express. 2022 Feb 7;13(3):1312-1327. doi: 10.1364/BOE.451128. eCollection 2022 Mar 1. Biomed Opt Express. 2022. PMID: 35415005 Free PMC article.
Quantitative phase imaging (QPI) is an ideal method to non-invasively monitor cell populations and provide label-free imaging and analysis. ...We demonstrate this in the current study through a comparison of cell counting data from digital …
Quantitative phase imaging (QPI) is an ideal method to non-invasively monitor cell populations and provide label-free …
High-throughput super-resolution single-particle trajectory analysis reconstructs organelle dynamics and membrane reorganization.
Parutto P, Heck J, Lu M, Kaminski C, Avezov E, Heine M, Holcman D. Parutto P, et al. Cell Rep Methods. 2022 Aug 22;2(8):100277. doi: 10.1016/j.crmeth.2022.100277. eCollection 2022 Aug 22. Cell Rep Methods. 2022. PMID: 36046627 Free PMC article.
However, computational methods that can derive quantitative information from such massive datasets are currently lacking. ...We applied this analysis to the endoplasmic reticulum and neuronal membrane. The method is based on spatiotemporal segmentation that e …
However, computational methods that can derive quantitative information from such massive datasets are currently lacking. ...We appli …
Aberration-free digital holographic phase imaging using the derivative-based principal component analysis.
Lai X, Xiao S, Xu C, Fan S, Wei K. Lai X, et al. J Biomed Opt. 2021 Apr;26(4):046501. doi: 10.1117/1.JBO.26.4.046501. J Biomed Opt. 2021. PMID: 33840164 Free PMC article.
SIGNIFICANCE: Digital holographic microscopy is widely used to get the quantitative phase information of transparent cells. ...APPROACH: We propose a technique to obtain aberration-free phase imaging, using the derivative-based principal …
SIGNIFICANCE: Digital holographic microscopy is widely used to get the quantitative phase information of transpa …
Loon: Using Exemplars to Visualize Large-Scale Microscopy Data.
Lange D, Polanco E, Judson-Torres R, Zangle T, Lex A. Lange D, et al. IEEE Trans Vis Comput Graph. 2022 Jan;28(1):248-258. doi: 10.1109/TVCG.2021.3114766. Epub 2021 Dec 24. IEEE Trans Vis Comput Graph. 2022. PMID: 34587022
To address this workflow, we developed Loon, a visualization tool for analyzing drug screening data based on quantitative phase microscopy imaging. Loon visualizes both derived data such as growth rates and imaging data. Since the images …
To address this workflow, we developed Loon, a visualization tool for analyzing drug screening data based on quantitative phase …
73 results