Erratum

Area of Science:

• Veterinary Pathology
• Toxicology
• Digital Pathology
• Hematology

Background:

• Accurate quantification of bone marrow cellularity and hematopoietic lineages is crucial for toxicological pathology.
• Traditional methods for assessing bone marrow are often subjective and time-consuming.
• Hematoxylin and eosin (H&E) stained sections are standard for histopathological evaluation.

Purpose of the Study:

• To develop and validate an automated image analysis method for quantifying bone marrow cellularity in veterinary species.
• To establish a proof of concept for an automated method to quantify rat bone marrow hematopoietic lineages on H&E sections.
• To improve the objectivity and efficiency of bone marrow assessments in toxicological studies.

Main Methods:

• Development of an automated image analysis algorithm.
• Application of the algorithm to H&E stained bone marrow sections from veterinary species and rats.
• Validation of automated quantification against manual assessments.
• Correction of figure misplacement in published articles.

Main Results:

• The automated method demonstrated high accuracy and reproducibility in quantifying bone marrow cellularity.
• The proof-of-concept study showed the potential for automated lineage quantification in rat bone marrow.
• The developed method offers a more objective and efficient alternative to manual evaluation.

Conclusions:

• Automated image analysis provides a reliable and efficient tool for quantifying bone marrow cellularity and hematopoietic lineages.
• This technology can significantly enhance the precision and throughput of toxicological pathology studies.
• Standardization and validation of digital pathology tools are essential for regulatory acceptance.