Back

Autofluorescence-based Label-free Cell Counting Method in Suspension Culture with Microcarriers

Morikura, T.; Sakaguchi, K.; Tanaka, R.-i.; Iwasaki, K.; Shimizu, T.

2025-09-19 systems biology
10.1101/2025.09.16.676704 bioRxiv
Show abstract

To advance the industrialization of cultured meat and regenerative medicine, scalable and efficient cell culture techniques are essential. Among these, the suspension culture method using microcarriers has emerged as a promising approach for the large-scale cell culture technique. However, monitoring cell growth on the microcarriers remains challenging, particularly in developing cell counting techniques that can be seamlessly integrated into bioprocess workflows without cell detachment, fluorescence labeling and any parameter tuning in the analysis algorithm. In this study, we proposed a versatile image analysis-based cell counting method by using cellular autofluorescence without any parameter tuning. The proposed method estimates the number of cells by applying spatiotemporal averaging to the autofluorescence signals in the microscopic images. Using numerical and cell culture experiments, we demonstrated that the proposed method can estimates the number of cells accurately. This technique, which harnesses the ubiquitous autofluorescence inherent in living cells, offers a cost-effective and practical solution applicable to a broad range of fields requiring high-throughput cell quantification.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 19%
10.1%
2
SLAS Technology
11 papers in training set
Top 0.1%
10.1%
3
Scientific Reports
3102 papers in training set
Top 18%
6.4%
4
Analytica Chimica Acta
17 papers in training set
Top 0.1%
6.4%
5
Cell Reports Methods
141 papers in training set
Top 0.4%
6.3%
6
Communications Biology
886 papers in training set
Top 2%
3.6%
7
Lab on a Chip
88 papers in training set
Top 0.4%
3.3%
8
iScience
1063 papers in training set
Top 7%
2.9%
9
Analytical Chemistry
205 papers in training set
Top 1.0%
2.7%
50% of probability mass above
10
Advanced Science
249 papers in training set
Top 7%
2.6%
11
Biomedical Optics Express
84 papers in training set
Top 0.5%
2.6%
12
Computational and Structural Biotechnology Journal
216 papers in training set
Top 3%
2.1%
13
Nature Communications
4913 papers in training set
Top 47%
2.1%
14
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 3%
2.1%
15
Science China Life Sciences
26 papers in training set
Top 1%
1.3%
16
Biophysical Journal
545 papers in training set
Top 4%
1.2%
17
Small Methods
26 papers in training set
Top 0.6%
1.2%
18
Talanta
12 papers in training set
Top 0.5%
1.0%
19
eLife
5422 papers in training set
Top 51%
1.0%
20
Quantitative Biology
11 papers in training set
Top 0.5%
1.0%
21
HardwareX
16 papers in training set
Top 0.2%
0.9%
22
Synthetic and Systems Biotechnology
10 papers in training set
Top 0.4%
0.9%
23
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 3%
0.8%
24
Journal of The Royal Society Interface
189 papers in training set
Top 5%
0.7%
25
Microbiology Spectrum
435 papers in training set
Top 5%
0.7%
26
ACS Omega
90 papers in training set
Top 4%
0.7%
27
Frontiers in Medicine
113 papers in training set
Top 7%
0.7%
28
PNAS Nexus
147 papers in training set
Top 2%
0.7%
29
Gigabyte
60 papers in training set
Top 2%
0.7%
30
Plant Methods
39 papers in training set
Top 0.8%
0.7%