A guide to accurate reporting in digital image processing – can anyone reproduce your quantitative analysis?
出版年份 2021 全文链接
标题
A guide to accurate reporting in digital image processing – can anyone reproduce your quantitative analysis?
作者
关键词
-
出版物
JOURNAL OF CELL SCIENCE
Volume 134, Issue 6, Pages -
出版商
The Company of Biologists
发表日期
2021-03-30
DOI
10.1242/jcs.254151
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A guide to accurate reporting in digital image acquisition – can anyone replicate your microscopy data?
- (2021) John M. Heddleston et al. JOURNAL OF CELL SCIENCE
- Tutorial: guidance for quantitative confocal microscopy
- (2020) James Jonkman et al. Nature Protocols
- Science Forum: Imaging methods are vastly underreported in biomedical research
- (2020) Guillermo Marques et al. eLife
- A beginner’s guide to rigor and reproducibility in fluorescence imaging experiments
- (2018) Jen-Yi Lee et al. MOLECULAR BIOLOGY OF THE CELL
- Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy
- (2018) Chawin Ounkomol et al. NATURE METHODS
- DeconvolutionLab2: An open-source software for deconvolution microscopy
- (2017) Daniel Sage et al. METHODS
- The connected-component labeling problem: A review of state-of-the-art algorithms
- (2017) Lifeng He et al. PATTERN RECOGNITION
- Advanced light microscopy core facilities: Balancing service, science and career
- (2016) Elisa Ferrando-May et al. MICROSCOPY RESEARCH AND TECHNIQUE
- The ImageJ ecosystem: An open platform for biomedical image analysis
- (2015) Johannes Schindelin et al. MOLECULAR REPRODUCTION AND DEVELOPMENT
- Connectomes make the map
- (2015) Amber Dance NATURE
- Computational imaging: Machine learning for 3D microscopy
- (2015) Laura Waller et al. NATURE
- Machine learning in cell biology – teaching computers to recognize phenotypes
- (2013) Christoph Sommer et al. JOURNAL OF CELL SCIENCE
- OMERO: flexible, model-driven data management for experimental biology
- (2012) Chris Allan et al. NATURE METHODS
- NIH Image to ImageJ: 25 years of image analysis
- (2012) Caroline A Schneider et al. NATURE METHODS
- Using fixed fiduciary markers for stage drift correction
- (2012) Sang Hak Lee et al. OPTICS EXPRESS
- 3D Confocal Microscope Image Enhancement by Richardson-Lucy Deconvolution Algorithm with Total Variation Regularization: Parameters Estimation
- (2010) Martin Laasmaa et al. BIOPHYSICAL JOURNAL
- Avoiding Twisted Pixels: Ethical Guidelines for the Appropriate Use and Manipulation of Scientific Digital Images
- (2010) Douglas W. Cromey SCIENCE AND ENGINEERING ETHICS
- Quantitative Comparison of Spot Detection Methods in Fluorescence Microscopy
- (2009) I. Smal et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- An open-source deconvolution software package for 3-D quantitative fluorescence microscopy imaging
- (2009) Y. SUN et al. JOURNAL OF MICROSCOPY
- Adaptive optics via pupil segmentation for high-resolution imaging in biological tissues
- (2009) Na Ji et al. NATURE METHODS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now