Any form of scientific data collection and analysis comes with the responsibility to make unbias analysis and complete reporting to allow reproducibility. The aim of this page is to list some generic points of good sientific practice to consider for field of Microscopy and Image Analysis.
IMPORTANCE OF DOCUMENTATION:
Based on the alarming, survey of many prominent journals reported by G. Marques, T. and M. Sanders that showed that most microscopy-based experiments are severely under- and mis-reported in the literature. (https://elifesciences.org/articles/55133), we were triggered to initiate this website. Please consider the points addressed below to best allow reproducability of your publised data.
- Heddleston, J.M., Aaron, J.S., Khuon, S., Chew, T.-L. (2021) A guide to accurate reporting in digital image acquisition – can anyone replicate your microscopy data? (https://is.gd/kVisb4)
- Aaron, J.S., Chew, T.-L. (2021) A guide to accurate reporting in digital image processing – can anyone reproduce your quantitative analysis? J. Cell Sci. doi:10.1242/jcs.254151(https://is.gd/PlGrnz)
- Visit Online lLearning Tool for Research integrity and image Processing: learn about what is appropriate image processing in science and what is not – including video tutorials