scholarly journals Abstract 4835: A robust, non-destructive image analysis method for the quantitation and characterization of patient derived organoids

Author(s):  
Erin Spiller ◽  
Roy Lau ◽  
Colin Flinders ◽  
Shannon Mumenthaler
Lab on a Chip ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 562-573 ◽  
Author(s):  
James P. K. Armstrong ◽  
Stephanie A. Maynard ◽  
Isaac J. Pence ◽  
Amanda C. Franklin ◽  
Bruce W. Drinkwater ◽  
...  

A new image analysis method based on Voronoï tessellation that enables quantitative and spatiotemporal characterization of acoustic cell patterning.


2009 ◽  
Vol 30 (8) ◽  
pp. 3338-3343 ◽  
Author(s):  
M. Posarac ◽  
M. Dimitrijevic ◽  
T. Volkov-Husovic ◽  
J. Majstorovic ◽  
B. Matovic

2019 ◽  
Vol 13 (1) ◽  
pp. 4679-4692
Author(s):  
A. H. Nurfaizey ◽  
F. C. Long ◽  
M. A. M. Daud ◽  
N. Muhammad ◽  
M. R. Mansor ◽  
...  

When electrospinning, the amount of electrospun fibres deposited is difficult to determine due to the extremely small size and light weight of the fibres.  Several methods have been used to predict the amount of deposited fibres including weighing, imaging and direct measurement. Yet, these methods have drawbacks that make them unsuitable for commercial scale process control. In this study, an image analysis method is used to predict the amount of deposited fibres over a significant area. When images of electrospun fibres are converted into grey scale images, it is suggested that the amount of fibres deposited can be predicted by measuring the grey scale intensity. Weighing method was used to validate the image analysis results. Weighing method was found wanting when the deposition time was short (p>0.05) due to the insignificant fibre masses compared to the variation of substrates. The results suggest that image analysis method could be used to predict the amount of deposited electrospun nanofibres. Test on different polymers and substrates showed that the method was still capable to distinguish the samples. The developed method has the potential to be applied as an in-line non-destructive quality control method for electrospun fibre manufacture.


2001 ◽  
Vol 47 (4) ◽  
pp. 315-321 ◽  
Author(s):  
M McIntyre ◽  
J K Eade ◽  
P W Cox ◽  
C R Thomas ◽  
S White ◽  
...  

An image analysis method is described for the characterization of empty (autolyzed and inactive) regions within the mycelia of filamentous fungi. It extends a previous method that characterized only regions filled with cytoplasm or vacuoles (i.e., the active biomass). The method is semiautomatic, requiring some manual editing before automated measurements. When the method was used for samples from a batch fermentation of an industrial strain of Penicillium chrysogenum, the empty regions were observed to constitute up to 15% (by projected area) of the biomass during the growth phase. After nutrient exhaustion, however, the proportion of empty regions rose rapidly, eventually representing more than 50% of the biomass by the end of fermentation. The increase in the percentage of empty regions coincided with a decrease in biomass (as measured by dry cell weight) and a fall in penicillin titre. Further morphological analysis revealed that fragmentation of mycelia, particularly clumps, coincided with increases in the levels of empty regions. This new image analysis method gave additional information on hyphal differentiation and a measure of autolysis. It was also a useful indicator of the processes leading to autolysis.Key words: autolysis, penicillin, differentiation, double grey.


2017 ◽  
Vol 266 (2) ◽  
pp. 126-140 ◽  
Author(s):  
N. HARDY ◽  
M. MOREAUD ◽  
D. GUILLAUME ◽  
F. AUGIER ◽  
A. NIENOW ◽  
...  

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