In histology, the quality of data directly impacts the interpretation of tissue samples and subsequent conclusions. Errors in data can lead to misdiagnosis, incorrect research findings, and ultimately, flawed scientific knowledge. Therefore, data cleaning is vital for ensuring the integrity of histological studies.
