What Constitutes Scientific Misconduct in Histology?
Scientific misconduct in histology can manifest in several ways:
Data fabrication: Creating false data or results that were never obtained through actual experiments or observations. Data falsification: Manipulating research data and processes to produce a desired outcome, including altering images or data points in histological studies. Plagiarism: Using someone else's work or ideas without proper attribution, which can include copying text, images, or methodologies. Image manipulation: Altering histological images in a way that misrepresents the findings, such as adjusting contrast or colors to highlight certain features that are not present. Improper authorship: Including individuals as authors who did not significantly contribute to the research or excluding those who did.
