Using Fourier Ptychography Microscopy to Achieve High-resolution Chromosome Imaging: an Initial Evaluation

Overview

Journal J Biomed Opt

Specialties Biomedical Engineering
Ophthalmology

Date 2022 Feb 1

PMID 35102727

Authors

Ke Zhang

Xianglan Lu

Xuxin Chen

Roy Zhang

Kar-Ming Fung

Hong Liu

Bin Zheng

Shibo Li

Yuchen Qiu

Affiliations

Soon will be listed here.

Abstract

Significance: Searching analyzable metaphase chromosomes is a critical step for the diagnosis and treatment of leukemia patients, and the searching efficiency is limited by the difficulty that the conventional microscopic systems have in simultaneously achieving high resolution and a large field of view (FOV). However, this challenge can be addressed by Fourier ptychography microscopy (FPM) technology.

Aim: The purpose of this study is to investigate the feasibility of utilizing FPM to reconstruct high-resolution chromosome images.

Approach: An experimental FPM prototype, which was equipped with 4 × / 0.1 NA or 10 × / 0.25 NA objective lenses to achieve a theoretical equivalent NA of 0.48 and 0.63, respectively, was developed. Under these configurations, we first generated the system modulation transfer function (MTF) curves to assess the resolving power. Next, a group of analyzable metaphase chromosomes were imaged by the FPM system, which were acquired from the peripheral blood samples of the leukemia patients. The chromosome feature qualities were evaluated and compared with the results accomplished by the corresponding conventional microscopes.

Results: The MTF curve results indicate that the resolving power of the 4 × / 0.1 NA FPM system is equivalent and comparable to the 20 × / 0.4 NA conventional microscope, whereas the performance of the 10 × / 0.25 NA FPM system is close to the 60 × / 0.95 NA conventional microscope. When imaging the chromosomes, the feature qualities of the 4 × / 0.1 NA FPM system are comparable to the results under the conventional 20 × / 0.4 NA lens, whereas the feature qualities of the 10 × / 0.25 NA FPM system are better than the conventional 60 × / 0.95 NA lens and comparable to the conventional 100 × / 1.25 NA lens.

Conclusions: This study initially verified that it is feasible to utilize FPM to develop a high-resolution and wide-field chromosome sample scanner.

Citing Articles

Development and Assessment of Multiple Illumination Color Fourier Ptychographic Microscopy for High Throughput Sample Digitization.

Gilley P, Zhang K, Abdoli N, Sadri Y, Adhikari L, Fung K Sensors (Basel). 2024; 24(14).

PMID: 39065905 PMC: 11280611. DOI: 10.3390/s24144505.

Peripheral Blood Leukocyte Detection Based on an Improved Detection Transformer Algorithm.

Li M, Fang S, Wang X, Chen S, Cao L, Han J Sensors (Basel). 2023; 23(16).

PMID: 37631762 PMC: 10459921. DOI: 10.3390/s23167226.

Optical ptychography for biomedical imaging: recent progress and future directions [Invited].

Wang T, Jiang S, Song P, Wang R, Yang L, Zhang T Biomed Opt Express. 2023; 14(2):489-532.

PMID: 36874495 PMC: 9979669. DOI: 10.1364/BOE.480685.

Using symmetric illumination and color camera to achieve high throughput Fourier ptychographic microscopy.

Zhang K, Gilley P, Abdoli N, Chen X, Fung K, Qiu Y J Biophotonics. 2022; 16(5):e202200303.

PMID: 36522293 PMC: 10191880. DOI: 10.1002/jbio.202200303.

References

Cole R, Jinadasa T, Brown C . Measuring and interpreting point spread functions to determine confocal microscope resolution and ensure quality control. Nat Protoc. 2011; 6(12):1929-41. DOI: 10.1038/nprot.2011.407. View

Qiu Y, Chen X, Li Y, Zheng B, Li S, Chen W . Impact of the optical depth of field on cytogenetic image quality. J Biomed Opt. 2012; 17(9):96017-1. PMC: 3444261. DOI: 10.1117/1.JBO.17.9.096017. View

Ou X, Zheng G, Yang C . Embedded pupil function recovery for Fourier ptychographic microscopy. Opt Express. 2014; 22(5):4960-72. PMC: 4086333. DOI: 10.1364/OE.22.004960. View

Jiang S, Guo K, Liao J, Zheng G . Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow. Biomed Opt Express. 2018; 9(7):3306-3319. PMC: 6033553. DOI: 10.1364/BOE.9.003306. View

Yunis J, Sanchez O . G-banding and chromosome structure. Chromosoma. 1973; 44(1):15-23. DOI: 10.1007/BF00372570. View

Wang X, Zheng B, Li S, Mulvihill J, Liu H . Development and Assessment of an Integrated Computer-Aided Detection Scheme for Digital Microscopic Images of Metaphase Chromosomes. J Electron Imaging. 2012; 17(4). PMC: 3475421. DOI: 10.1117/1.3013459. View

Tian L, Li X, Ramchandran K, Waller L . Multiplexed coded illumination for Fourier Ptychography with an LED array microscope. Biomed Opt Express. 2014; 5(7):2376-89. PMC: 4102371. DOI: 10.1364/BOE.5.002376. View

Ou X, Horstmeyer R, Zheng G, Yang C . High numerical aperture Fourier ptychography: principle, implementation and characterization. Opt Express. 2015; 23(3):3472-91. PMC: 5802253. DOI: 10.1364/OE.23.003472. View

Zheng G, Horstmeyer R, Yang C . Wide-field, high-resolution Fourier ptychographic microscopy. Nat Photonics. 2014; 7(9):739-745. PMC: 4169052. DOI: 10.1038/nphoton.2013.187. View

10.

Qin Y, Wen J, Zheng H, Huang X, Yang J, Song N . Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks. IEEE Trans Med Imaging. 2019; 38(11):2569-2581. DOI: 10.1109/TMI.2019.2905841. View

11.

Nguyen T, Xue Y, Li Y, Tian L, Nehmetallah G . Deep learning approach for Fourier ptychography microscopy. Opt Express. 2018; 26(20):26470-26484. DOI: 10.1364/OE.26.026470. View

12.

Siegel R, Miller K, Fuchs H, Jemal A . Cancer Statistics, 2021. CA Cancer J Clin. 2021; 71(1):7-33. DOI: 10.3322/caac.21654. View

13.

Alexandrov S, Hillman T, Gutzler T, Sampson D . Synthetic aperture fourier holographic optical microscopy. Phys Rev Lett. 2006; 97(16):168102. DOI: 10.1103/PhysRevLett.97.168102. View