IMAGE ANALYSIS COMBINED FLUORESCENCE MICROSCOPY - Examples of ImageJ Software Application in Yeast Studies

2011 ◽  
Keyword(s):  
Image Analysis ◽  
Fluorescence Microscopy ◽  
Software Application ◽  
Imagej Software

scholarly journals Possibilities of image analysis for quality wood sorting

2019 ◽  
Vol 65 (3-4) ◽  
pp. 218-222
Author(s):  
Miloš Gejdoš ◽  
Tomáš Gergeľ ◽  
Tomáš Bucha ◽  
Zuzana Vyhnáliková
Keyword(s):  
Image Analysis ◽  
Surface Area ◽  
Qualitative Character ◽  
Quality Class ◽  
Software Application ◽  
Classical Methodology ◽  
Qualitative Characters ◽  
Circular Surface ◽  
Total Difference ◽  
Imagej Software

Abstract Wood assessment optimization should be the top priority of the forestry subjects that are fundamentally dependent on the income from its sale. The aim of this paper is to analyse the beech, oak and ash tree logs that were categorized into quality classes according to the size of one of the qualitative characters related to the surface area (false heartwood, rot). The classical methodology used in forestry was compared with the application of ImageJ software. In total, thirty logs were analysed. The characters of false heartwood and rot were chosen and evaluated according to their size on the log end. There were no other characters that obstructed the categorization into quality classes. The ImageJ software application led to improved assessment (transfer to a higher quality class) in 56% of the logs. The volume of the evaluated assortments was 18.43 m3. The total difference in the value of the assortments with the ImageJ software application reached + €70.44 (+ 4.7%). The analysis therefore confirmed that in case of a considerable irregularity in a qualitative character (when the surface area of the character significantly differs from the circumscribed circular surface), the standard STN EN 1309–3 methodology systematically overvalues the surface area of this character. That affects the assessment potential of the specific log.

Evaluation of ImageJ software in ultrasonic image analysis: follicular and luteal morphological characteristics of cattle

2021 ◽  
pp. 106907
Author(s):  
Lindomar Sousa Brito ◽  
Ana Karina da Silva Cavalcante ◽  
Alexandra Soares Rodrigues ◽  
Priscila Assis Ferraz ◽  
Rodrigo Freitas Bittencourt ◽  
...  
Keyword(s):  
Image Analysis ◽  
Morphological Characteristics ◽  
Ultrasonic Image ◽  
Imagej Software

Application of fluorescence microscopy and image analysis for quantifying dynamics of maize pollen shed

Crop Science ◽  
2002 ◽  
Vol 42 (6) ◽  
pp. 2201-2206 ◽  
Author(s):  
Agustin E. Fonseca ◽  
Mark E. Westgate ◽  
Robert T. Doyle
Keyword(s):  
Image Analysis ◽  
Fluorescence Microscopy ◽  
Maize Pollen ◽  
Pollen Shed

scholarly journals Image analysis in fluorescence microscopy: Bacterial dynamics as a case study

BioEssays ◽  
2012 ◽  
Vol 34 (5) ◽  
pp. 427-436 ◽  
Author(s):  
Sven van Teeffelen ◽  
Joshua W. Shaevitz ◽  
Zemer Gitai
Keyword(s):  
Image Analysis ◽  
Fluorescence Microscopy ◽  
Bacterial Dynamics

scholarly journals Deciphering tissue morphodynamics using bioimage informatics

2017 ◽  
Vol 372 (1720) ◽  
pp. 20150512 ◽  
Author(s):  
Alexandre C. Dufour ◽  
Anneliene H. Jonker ◽  
Jean-Christophe Olivo-Marin
Keyword(s):  
Developmental Biology ◽  
Image Analysis ◽  
Fluorescence Microscopy ◽  
Automated Analysis ◽  
Tissue Level ◽  
Bioimage Informatics ◽  
Software Packages ◽  
Introductory Overview ◽  
To Come ◽  
Microscopy Techniques

In recent years developmental biology has greatly benefited from the latest advances in fluorescence microscopy techniques. Consequently, quantitative and automated analysis of this data is becoming a vital first step in the quest for novel insights into the various aspects of development. Here we present an introductory overview of the various image analysis methods proposed for developmental biology images, with particular attention to openly available software packages. These tools, as well as others to come, are rapidly paving the way towards standardized and reproducible bioimaging studies at the whole-tissue level. Reflecting on these achievements, we discuss the remaining challenges and the future endeavours lying ahead in the post–image analysis era. This article is part of the themed issue ‘Systems morphodynamics: understanding the development of tissue hardware’.

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