An Optimized Approach to Perform Bone Histomorphometry

Bone histomorphometry allows quantitative evaluation of bone micro-architecture, bone formation, and bone remodeling by providing an insight to cellular changes. Histomorphometry plays an important role in monitoring changes in bone properties because of systemic skeletal diseases like osteoporosis...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Deeksha Malhan [verfasserIn] Matthias Muelke [verfasserIn] Sebastian Rosch [verfasserIn] Annemarie B. Schaefer [verfasserIn] Felix Merboth [verfasserIn] David Weisweiler [verfasserIn] Christian Heiss [verfasserIn] Ignacio Arganda-Carreras [verfasserIn] Thaqif El Khassawna [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	bone histomorphometry open source imageJ Trainable Weka Segmentation BoneJ bone area

Übergeordnetes Werk:	In: Frontiers in Endocrinology - Frontiers Media S.A., 2011, 9(2018)
Übergeordnetes Werk:	volume:9 ; year:2018

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fendo.2018.00666

Katalog-ID:	DOAJ063870835

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callnumber-first	R - Medicine
author	Deeksha Malhan
spellingShingle	Deeksha Malhan misc RC648-665 misc bone histomorphometry misc open source misc imageJ misc Trainable Weka Segmentation misc BoneJ misc bone area misc Diseases of the endocrine glands. Clinical endocrinology An Optimized Approach to Perform Bone Histomorphometry
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topic_title	RC648-665 An Optimized Approach to Perform Bone Histomorphometry bone histomorphometry open source imageJ Trainable Weka Segmentation BoneJ bone area
topic	misc RC648-665 misc bone histomorphometry misc open source misc imageJ misc Trainable Weka Segmentation misc BoneJ misc bone area misc Diseases of the endocrine glands. Clinical endocrinology
topic_unstemmed	misc RC648-665 misc bone histomorphometry misc open source misc imageJ misc Trainable Weka Segmentation misc BoneJ misc bone area misc Diseases of the endocrine glands. Clinical endocrinology
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title	An Optimized Approach to Perform Bone Histomorphometry
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title_full	An Optimized Approach to Perform Bone Histomorphometry
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title_sort	optimized approach to perform bone histomorphometry
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title_auth	An Optimized Approach to Perform Bone Histomorphometry
abstract	Bone histomorphometry allows quantitative evaluation of bone micro-architecture, bone formation, and bone remodeling by providing an insight to cellular changes. Histomorphometry plays an important role in monitoring changes in bone properties because of systemic skeletal diseases like osteoporosis and osteomalacia. Besides, quantitative evaluation plays an important role in fracture healing studies to explore the effect of biomaterial or drug treatment. However, until today, to our knowledge, bone histomorphometry remain time-consuming and expensive. This incited us to set up an open-source freely available semi-automated solution to measure parameters like trabecular area, osteoid area, trabecular thickness, and osteoclast activity. Here in this study, the authors present the adaptation of Trainable Weka Segmentation plugin of ImageJ to allow fast evaluation of bone parameters (trabecular area, osteoid area) to diagnose bone related diseases. Also, ImageJ toolbox and plugins (BoneJ) were adapted to measure osteoclast activity, trabecular thickness, and trabecular separation. The optimized two different scripts are based on ImageJ, by providing simple user-interface and easy accessibility for biologists and clinicians. The scripts developed for bone histomorphometry can be optimized globally for other histological samples. The showed scripts will benefit the scientific community in histological evaluation.
abstractGer	Bone histomorphometry allows quantitative evaluation of bone micro-architecture, bone formation, and bone remodeling by providing an insight to cellular changes. Histomorphometry plays an important role in monitoring changes in bone properties because of systemic skeletal diseases like osteoporosis and osteomalacia. Besides, quantitative evaluation plays an important role in fracture healing studies to explore the effect of biomaterial or drug treatment. However, until today, to our knowledge, bone histomorphometry remain time-consuming and expensive. This incited us to set up an open-source freely available semi-automated solution to measure parameters like trabecular area, osteoid area, trabecular thickness, and osteoclast activity. Here in this study, the authors present the adaptation of Trainable Weka Segmentation plugin of ImageJ to allow fast evaluation of bone parameters (trabecular area, osteoid area) to diagnose bone related diseases. Also, ImageJ toolbox and plugins (BoneJ) were adapted to measure osteoclast activity, trabecular thickness, and trabecular separation. The optimized two different scripts are based on ImageJ, by providing simple user-interface and easy accessibility for biologists and clinicians. The scripts developed for bone histomorphometry can be optimized globally for other histological samples. The showed scripts will benefit the scientific community in histological evaluation.
abstract_unstemmed	Bone histomorphometry allows quantitative evaluation of bone micro-architecture, bone formation, and bone remodeling by providing an insight to cellular changes. Histomorphometry plays an important role in monitoring changes in bone properties because of systemic skeletal diseases like osteoporosis and osteomalacia. Besides, quantitative evaluation plays an important role in fracture healing studies to explore the effect of biomaterial or drug treatment. However, until today, to our knowledge, bone histomorphometry remain time-consuming and expensive. This incited us to set up an open-source freely available semi-automated solution to measure parameters like trabecular area, osteoid area, trabecular thickness, and osteoclast activity. Here in this study, the authors present the adaptation of Trainable Weka Segmentation plugin of ImageJ to allow fast evaluation of bone parameters (trabecular area, osteoid area) to diagnose bone related diseases. Also, ImageJ toolbox and plugins (BoneJ) were adapted to measure osteoclast activity, trabecular thickness, and trabecular separation. The optimized two different scripts are based on ImageJ, by providing simple user-interface and easy accessibility for biologists and clinicians. The scripts developed for bone histomorphometry can be optimized globally for other histological samples. The showed scripts will benefit the scientific community in histological evaluation.
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title_short	An Optimized Approach to Perform Bone Histomorphometry
url	https://doi.org/10.3389/fendo.2018.00666 https://doaj.org/article/ab26ac45847d4ff987a8a16fb7ed955b https://www.frontiersin.org/article/10.3389/fendo.2018.00666/full https://doaj.org/toc/1664-2392
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author2	Matthias Muelke Sebastian Rosch Annemarie B. Schaefer Felix Merboth David Weisweiler Christian Heiss Ignacio Arganda-Carreras Thaqif El Khassawna
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up_date	2024-07-03T19:59:16.844Z
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An Optimized Approach to Perform Bone Histomorphometry

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