Context-Based Separation of Cell Clusters for the Automatic Biocompatibility Testing of Implant Materials

Table 6

Comparison of cell counting using the CBS and the methods presented in [20] and [15].

Sample	ACC	FP	FN	PC	REF	RFP (%)	RFP (%)	ERR (%)
CBS Algorithm
1	234	4	2	230	232	1.7	0.9	0.9
2	350	3	22	347	369	0.8	6.0	5.1
3	240	2	12	238	250	0.8	4.8	4.0
4	193	3	9	190	199	1.5	4.5	3.0
5	232	4	12	228	240	1.7	5.0	3.3
6	205	9	3	196	199	4.5	1.5	3.0
7	217	3	1	214	215	1.4	0.5	0.9
8	208	5	7	203	210	2.4	3.3	1.0
9	220	6	1	214	215	2.8	0.5	2.3
10	270	6	16	264	280	2.1	5.7	3.6
					∅ Err	2.0	3.3	2.7
Method described in [20]
1	255	24	1	231	232	10.3	0.4	9.9
2	380	16	5	364	369	4.3	1.4	3.0
3	269	21	2	248	250	8.4	0.8	7.6
4	223	25	1	198	199	12.6	0.5	12.1
5	260	23	3	237	240	9.6	1.3	8.3
6	222	25	2	197	199	12.6	1.0	11.6
7	247	36	4	211	215	16.7	1.9	14.9
8	231	23	2	208	210	11.0	1.0	10.0
9	236	22	1	214	215	10.2	0.5	9.8
10	296	20	4	276	280	7.1	1.4	5.7
					∅ Err	10.3	1.0	9.3
Method described in [15]
1	245	14	1	231	232	6.0	0.4	5.6
2	391	25	3	366	369	6.8	0.8	6.0
3	258	8	0	250	250	3.2	0.0	3.2
4	211	14	2	197	199	7.0	1.0	6.0
5	252	13	1	239	240	5.4	0.4	5.0
6	208	10	1	198	199	5.0	0.5	4.5
7	226	13	2	213	215	6.0	0.9	5.1
8	219	10	1	209	210	4.8	0.5	4.3
9	230	16	1	214	215	7.4	0.5	7.0
10	292	14	2	278	280	5.0	0.7	4.3
					∅ Err	5.7	0.6	5.1

ACC: automatic cell count; FP: false positive detection; FN: false negative (missed) detection; PC: positive correct detection (ACC − FP); REF: reference cell count; RFP: relative false positive detection (FP/REF * 100); RFN: relative false negative detection (FN/REF * 100); ERR: relative error (((REF − ACC)/REF) * 100).