The impurities of biological dyes: their detection, removal, occurrence and histological significance?a review

Horobin, RW

doi:10.1007/bf01081411

Cited by 41 publications

(4 citation statements)

References 151 publications

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“…Furthermore, XPS elemental analysis confirmed the presence of cresyl violet perchlorate on the surface of pulsed plasma deposited layers via detection of N(1s) and O(1s) fluorophore signals, Table 1. Infrared spectroscopy identified a broad absorbance centred at 1690 cm −1 (H–O–H bend attributed to the crystallisation of water associated with cresyl violet perchlorate),39, 40 Figure 1. This was found to be absent when N,N ‐dimethylformamide was employed instead as the solvent for cresyl violet perchlorate under otherwise identical conditions ( N,N ‐dimethylformamide is an alternative polar solvent that dissolves cresyl violet perchlorate) 41.…”

Section: Resultsmentioning

confidence: 99%

A Combined Plasmachemical and Emulsion Templating Approach for Actuated Macroporous Scaffolds

Morsch

Wood

Schofield

et al. 2011

Adv Funct Materials

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Functionalised macroporous scaffolds have been fabricated by a decoupled two-step approach comprising plasmachemical deposition of the host material followed by spontaneous emulsion formation using templating molecules. This unique approach allows pore architecture and surface functionalisation to be tailored independently. Other key features encompass conformality to a range of substrate materials or geometries, and the scope for introduction of a wide variety of pore surface functionalities, which for instance include pore size actuation.

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Section: Resultsmentioning

confidence: 99%

A Combined Plasmachemical and Emulsion Templating Approach for Actuated Macroporous Scaffolds

Morsch

Wood

Schofield

et al. 2011

Adv Funct Materials

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“…Dye impurities such as salts or other dyes may result in uneven staining and non-reproducible results 45 , as will variations in the manufacturing process. Dyes may decompose after some time, and this may also influence staining.…”

Section: Histochemical Stainingmentioning

confidence: 99%

Histochemical studies of the extracellular matrix of human articular cartilage—a review

Hyllested¹,

Veje²,

Østergaard³

2002

Osteoarthritis and Cartilage

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“…Secondly, histology slides are subject to staining in order to make important details visible to the human eye. This dying procedure is however also subject to a number of influencing factors, including concentration and purity (Horobin, 1969) of coloring agents, slice thickness, the dying protocol and the dyed tis-sue itself. This leads to a significant color variance in hematoxylin and eosin stained tissue sections, which poses a challenge to pattern recognition methods, especially when color nuances may be a determining factor for cell classification.…”

Section: Introductionmentioning

confidence: 99%

Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks

Aubreville

Bertram

Klopfleisch

et al. 2019

Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies

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Most tumor grading systems for human as for veterinary histopathology are based upon the absolute count of mitotic figures in a certain reference area of a histology slide. Since time for prognostication is limited in a diagnostic setting, the pathologist will oftentimes almost arbitrarily choose a certain field of interest assumed to have the highest mitotic activity. However, as mitotic figures are commonly very sparse on the slide and often have a patchy distribution, this poses a sampling problem which is known to be able to influence the tumor prognostication. On the other hand, automatic detection of mitotic figures can't yet be considered reliable enough for clinical application. In order to aid the work of the human expert and at the same time reduce variance in tumor grading, it is beneficial to assess the whole slide image (WSI) for the highest mitotic activity and use this as a reference region for human counting. For this task, we compare two methods for region of interest proposal, both based on convolutional neural networks (CNN). For both approaches, the CNN performs a segmentation of the WSI to assess mitotic activity. The first method performs a segmentation of mitotic cells at the original image resolution, while the second approach performs a segmentation operation at a significantly reduced resolution, cutting down on processing complexity. We evaluate the approach using a dataset of 32 completely annotated whole slide images of canine mast cell tumors, where 22 were used for training of the network and 10 for test. Our results indicate that, while the overall correlation to the ground truth mitotic activity is considerably higher (0.936 vs. 0.829) for the approach based upon the fine resolution network, the field of interest choices are only marginally better. Both approaches propose fields of interest that contain a mitotic count in the upper quartile of respective slides.

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The impurities of biological dyes: their detection, removal, occurrence and histological significance?a review

Cited by 41 publications

References 151 publications

A Combined Plasmachemical and Emulsion Templating Approach for Actuated Macroporous Scaffolds

A Combined Plasmachemical and Emulsion Templating Approach for Actuated Macroporous Scaffolds

Histochemical studies of the extracellular matrix of human articular cartilage—a review

Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks

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