High-throughput and high-precision flow cytometry based on digital holographic microscopy

Feng Pan; Wen Xiao; Lu Xin; Hao Wang; Ran Peng; Xi Xiao

doi:10.1117/12.2674497

High-throughput and high-precision flow cytometry based on digital holographic microscopy

Feng Pan^*
, Wen Xiao
, Lu Xin
, Hao Wang
, Ran Peng
, Xi Xiao

^*Corresponding author for this work

School of Instrumentation and Optoelectronic Engineering

Beihang University
Peking University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Recently, advanced flow cytometry analysis technology based on digital holography has been extensively studied, which can meet various challenges in clinical diagnosis. Especially in liquid biopsy, it has incomparable advantages. Urothelial Holographic Flow Cytometry (HFC) microscopy can provide rich intracellular information by changing the cell’s intrinsic properties with label-free and high throughput. Carcinoma (UC) is the second most common malignancy in men. Urine cytology detection is the most convenient early cancer screening method for UC patients. Here, we developed HFC to identify the cancer cells in urine. Holographic microfluidic imaging was performed to obtain the phase images of different cells in simulation urine, including red blood cells, white blood cells, epithelial cells, and a small number of cancer cells. This study demonstrates that HFC can achieve high accuracy, high throughput, and label-free cancer cell identification in the urine.

Original language	English
Title of host publication	Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI
Editors	Pietro Ferraro, Demetri Psaltis, Simonetta Grilli
Publisher	SPIE
ISBN (Electronic)	9781510664531
DOIs	https://doi.org/10.1117/12.2674497
State	Published - 2023
Event	Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI 2023 - Munich, Germany Duration: 26 Jun 2023 → 29 Jun 2023

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	12622
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI 2023
Country/Territory	Germany
City	Munich
Period	26/06/23 → 29/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

3D imaging
Digital Holography
Holography Flow Cytometry
Machine Learning
Microscopy
Quantitative phase imaging

Access to Document

10.1117/12.2674497

Cite this

Pan, F., Xiao, W., Xin, L., Wang, H., Peng, R., & Xiao, X. (2023). High-throughput and high-precision flow cytometry based on digital holographic microscopy. In P. Ferraro, D. Psaltis, & S. Grilli (Eds.), Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI Article 126220B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12622). SPIE. https://doi.org/10.1117/12.2674497

@inproceedings{f0fc5fe257e141d2a1b02cec65faea39,

title = "High-throughput and high-precision flow cytometry based on digital holographic microscopy",

abstract = "Recently, advanced flow cytometry analysis technology based on digital holography has been extensively studied, which can meet various challenges in clinical diagnosis. Especially in liquid biopsy, it has incomparable advantages. Urothelial Holographic Flow Cytometry (HFC) microscopy can provide rich intracellular information by changing the cell{\textquoteright}s intrinsic properties with label-free and high throughput. Carcinoma (UC) is the second most common malignancy in men. Urine cytology detection is the most convenient early cancer screening method for UC patients. Here, we developed HFC to identify the cancer cells in urine. Holographic microfluidic imaging was performed to obtain the phase images of different cells in simulation urine, including red blood cells, white blood cells, epithelial cells, and a small number of cancer cells. This study demonstrates that HFC can achieve high accuracy, high throughput, and label-free cancer cell identification in the urine.",

keywords = "3D imaging, Digital Holography, Holography Flow Cytometry, Machine Learning, Microscopy, Quantitative phase imaging",

author = "Feng Pan and Wen Xiao and Lu Xin and Hao Wang and Ran Peng and Xi Xiao",

note = "Publisher Copyright: {\textcopyright} 2023 SPIE.; Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI 2023 ; Conference date: 26-06-2023 Through 29-06-2023",

year = "2023",

doi = "10.1117/12.2674497",

language = "英语",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Pietro Ferraro and Demetri Psaltis and Simonetta Grilli",

booktitle = "Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI",

address = "美国",

}

Pan, F , Xiao, W, Xin, L, Wang, H, Peng, R & Xiao, X 2023, High-throughput and high-precision flow cytometry based on digital holographic microscopy. in P Ferraro, D Psaltis & S Grilli (eds), Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI., 126220B, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12622, SPIE, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI 2023, Munich, Germany, 26/06/23. https://doi.org/10.1117/12.2674497

High-throughput and high-precision flow cytometry based on digital holographic microscopy. / Pan, Feng ; Xiao, Wen; Xin, Lu et al.
Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI. ed. / Pietro Ferraro; Demetri Psaltis; Simonetta Grilli. SPIE, 2023. 126220B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12622).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - High-throughput and high-precision flow cytometry based on digital holographic microscopy

AU - Pan, Feng

AU - Xiao, Wen

AU - Xin, Lu

AU - Wang, Hao

AU - Peng, Ran

AU - Xiao, Xi

PY - 2023

Y1 - 2023

N2 - Recently, advanced flow cytometry analysis technology based on digital holography has been extensively studied, which can meet various challenges in clinical diagnosis. Especially in liquid biopsy, it has incomparable advantages. Urothelial Holographic Flow Cytometry (HFC) microscopy can provide rich intracellular information by changing the cell’s intrinsic properties with label-free and high throughput. Carcinoma (UC) is the second most common malignancy in men. Urine cytology detection is the most convenient early cancer screening method for UC patients. Here, we developed HFC to identify the cancer cells in urine. Holographic microfluidic imaging was performed to obtain the phase images of different cells in simulation urine, including red blood cells, white blood cells, epithelial cells, and a small number of cancer cells. This study demonstrates that HFC can achieve high accuracy, high throughput, and label-free cancer cell identification in the urine.

AB - Recently, advanced flow cytometry analysis technology based on digital holography has been extensively studied, which can meet various challenges in clinical diagnosis. Especially in liquid biopsy, it has incomparable advantages. Urothelial Holographic Flow Cytometry (HFC) microscopy can provide rich intracellular information by changing the cell’s intrinsic properties with label-free and high throughput. Carcinoma (UC) is the second most common malignancy in men. Urine cytology detection is the most convenient early cancer screening method for UC patients. Here, we developed HFC to identify the cancer cells in urine. Holographic microfluidic imaging was performed to obtain the phase images of different cells in simulation urine, including red blood cells, white blood cells, epithelial cells, and a small number of cancer cells. This study demonstrates that HFC can achieve high accuracy, high throughput, and label-free cancer cell identification in the urine.

KW - 3D imaging

KW - Digital Holography

KW - Holography Flow Cytometry

KW - Machine Learning

KW - Microscopy

KW - Quantitative phase imaging

UR - https://www.scopus.com/pages/publications/85172900511

U2 - 10.1117/12.2674497

DO - 10.1117/12.2674497

M3 - 会议稿件

AN - SCOPUS:85172900511

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI

A2 - Ferraro, Pietro

A2 - Psaltis, Demetri

A2 - Grilli, Simonetta

PB - SPIE

T2 - Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI 2023

Y2 - 26 June 2023 through 29 June 2023

ER -

Pan F , Xiao W, Xin L, Wang H, Peng R, Xiao X. High-throughput and high-precision flow cytometry based on digital holographic microscopy. In Ferraro P, Psaltis D, Grilli S, editors, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI. SPIE. 2023. 126220B. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2674497

High-throughput and high-precision flow cytometry based on digital holographic microscopy

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this