Comparison of Sysmex XN-V body fluid mode and deep-learning-based quantification with manual techniques for total nucleated cell count and differential count for equine bronchoalveolar lavage samples

Table 1 Table of study design showing the measured parameters and the compared methods for each parameter

Parameters	TNCC	Two-part differential cell count	Four-part differential cell count
Methods	TNCC	Two-part differential cell count	Four-part differential cell count
Sysmex XN-V BF mode (automated counting)	69 BAL samples	69 BAL samples
Olympus VS200 scanner and software a) Manual differentiation b) Automated differentiation using AI algorithm			68 BAL cytospins, digital images of 200 cells each
Light microscopy (manual counting)	69 BAL samples, Neubauer chamber	69 BAL cytospins	69 BAL cytospins^a

AI Artificial intelligence, BF Body fluid, BAL Bronchoalveolar lavage, TNCC Total nucleated cell count
^aOnly for classification of samples according to ACVIM Consensus Statement and the precision study

ISSN: 1746-6148