An AFM-Based Model-Fitting-Free Viscoelasticity Characterization Method for Accurate Grading of Primary Prostate Tumor
Viscoelasticity is a crucial property of cells, which plays an important role in label-free cell characterization. This paper reports a model-fitting-free viscoelasticity calculation method, correcting the effects of frequency, surface adhesion and liquid resistance on AFM force-distance (FD) curves. As demonstrated by quantifying the viscosity and elastic modulus of PC-3 cells, this method shows high self-consistency and little dependence on experimental parameters such as loading frequency, and loading mode (Force-volume vs. PeakForce Tapping). The rapid calculating speed of less than 1ms per curve without the need for a model fitting process is another advantage. Furthermore, this method was utilized to characterize the viscoelastic properties of primary clinical prostate cells from 38 patients. The results demonstrate that the reported characterization method a comparable performance with the Gleason Score system in grading prostate cancer cells, This method achieves a high average accuracy of 97.6% in distinguishing low-risk prostate tumors (BPH and GS6) from higher-risk (GS7-GS10) prostate tumors and a high average accuracy of 93.3% in distinguishing BPH from prostate cancer.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2024 |
---|---|
Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
---|---|
Enthalten in: |
IEEE transactions on nanobioscience - 23(2024), 2 vom: 09. Apr., Seite 319-327 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Liu, Na [VerfasserIn] |
---|
Links: |
---|
Themen: |
---|
Anmerkungen: |
Date Completed 29.03.2024 Date Revised 02.04.2024 published: Print-Electronic Citation Status MEDLINE |
---|
doi: |
10.1109/TNB.2024.3351768 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM366849840 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLM366849840 | ||
003 | DE-627 | ||
005 | 20240403000038.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240114s2024 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1109/TNB.2024.3351768 |2 doi | |
028 | 5 | 2 | |a pubmed24n1361.xml |
035 | |a (DE-627)NLM366849840 | ||
035 | |a (NLM)38194381 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Liu, Na |e verfasserin |4 aut | |
245 | 1 | 3 | |a An AFM-Based Model-Fitting-Free Viscoelasticity Characterization Method for Accurate Grading of Primary Prostate Tumor |
264 | 1 | |c 2024 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 29.03.2024 | ||
500 | |a Date Revised 02.04.2024 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Viscoelasticity is a crucial property of cells, which plays an important role in label-free cell characterization. This paper reports a model-fitting-free viscoelasticity calculation method, correcting the effects of frequency, surface adhesion and liquid resistance on AFM force-distance (FD) curves. As demonstrated by quantifying the viscosity and elastic modulus of PC-3 cells, this method shows high self-consistency and little dependence on experimental parameters such as loading frequency, and loading mode (Force-volume vs. PeakForce Tapping). The rapid calculating speed of less than 1ms per curve without the need for a model fitting process is another advantage. Furthermore, this method was utilized to characterize the viscoelastic properties of primary clinical prostate cells from 38 patients. The results demonstrate that the reported characterization method a comparable performance with the Gleason Score system in grading prostate cancer cells, This method achieves a high average accuracy of 97.6% in distinguishing low-risk prostate tumors (BPH and GS6) from higher-risk (GS7-GS10) prostate tumors and a high average accuracy of 93.3% in distinguishing BPH from prostate cancer | ||
650 | 4 | |a Journal Article | |
700 | 1 | |a Zhang, Tianyuan |e verfasserin |4 aut | |
700 | 1 | |a Chen, Ziheng |e verfasserin |4 aut | |
700 | 1 | |a Wang, Yue |e verfasserin |4 aut | |
700 | 1 | |a Yue, Tao |e verfasserin |4 aut | |
700 | 1 | |a Shi, Jialin |e verfasserin |4 aut | |
700 | 1 | |a Li, Gongxin |e verfasserin |4 aut | |
700 | 1 | |a Yang, Chen |e verfasserin |4 aut | |
700 | 1 | |a Jiang, Haowen |e verfasserin |4 aut | |
700 | 1 | |a Sun, Yu |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t IEEE transactions on nanobioscience |d 2002 |g 23(2024), 2 vom: 09. Apr., Seite 319-327 |w (DE-627)NLM150513186 |x 1558-2639 |7 nnns |
773 | 1 | 8 | |g volume:23 |g year:2024 |g number:2 |g day:09 |g month:04 |g pages:319-327 |
856 | 4 | 0 | |u http://dx.doi.org/10.1109/TNB.2024.3351768 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 23 |j 2024 |e 2 |b 09 |c 04 |h 319-327 |