Fast and stable Fourier ptychographic microscopy based on improved phase recovery strategy
Fourier ptychographic microscopy (FPM) imaging is a computational imaging technology that can reconstruct wide-field high-resolution (HR) images. It uses a series of low-resolution images captured by a camera under different illumination angles. The images are stitched in the Fourier domain to expand their spectral range. Under high-angle illumination, a dark-field image is noisy with a low signal-to-noise ratio, which significantly reduces the reconstruction quality of FPM. Conventional reconstruction algorithms often have low FPM imaging performance and efficiency due to optimization strategies. In response to these problems, this paper proposes an FPM imaging method based on an improved phase recovery strategy to optimize the alternating iterative algorithm. The technique uses an improved threshold method to reduce noise in the image preprocessing stage to maximize the retention of high-frequency sample information. Moreover, an adaptive control factor is added in the subsequent iterative update process to balance the sample spectrum function. This study verifies the effectiveness of the proposed method on both simulation and experimental images. The results show that the proposed method can effectively suppress image background noise and has a faster convergence speed and higher robustness. In addition, it can be used to reconstruct HR complex amplitude images of objects under wide field-of-view conditions.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2022 |
---|---|
Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:30 |
---|---|
Enthalten in: |
Optics express - 30(2022), 11 vom: 23. Mai, Seite 18505-18517 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Luo, Jiaxiong [VerfasserIn] |
---|
Links: |
---|
Themen: |
---|
Anmerkungen: |
Date Revised 12.10.2022 published: Print Citation Status PubMed-not-MEDLINE |
---|
doi: |
10.1364/OE.454615 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM347368204 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM347368204 | ||
003 | DE-627 | ||
005 | 20231226033645.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231226s2022 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1364/OE.454615 |2 doi | |
028 | 5 | 2 | |a pubmed24n1157.xml |
035 | |a (DE-627)NLM347368204 | ||
035 | |a (NLM)36221650 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Luo, Jiaxiong |e verfasserin |4 aut | |
245 | 1 | 0 | |a Fast and stable Fourier ptychographic microscopy based on improved phase recovery strategy |
264 | 1 | |c 2022 | |
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 Revised 12.10.2022 | ||
500 | |a published: Print | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a Fourier ptychographic microscopy (FPM) imaging is a computational imaging technology that can reconstruct wide-field high-resolution (HR) images. It uses a series of low-resolution images captured by a camera under different illumination angles. The images are stitched in the Fourier domain to expand their spectral range. Under high-angle illumination, a dark-field image is noisy with a low signal-to-noise ratio, which significantly reduces the reconstruction quality of FPM. Conventional reconstruction algorithms often have low FPM imaging performance and efficiency due to optimization strategies. In response to these problems, this paper proposes an FPM imaging method based on an improved phase recovery strategy to optimize the alternating iterative algorithm. The technique uses an improved threshold method to reduce noise in the image preprocessing stage to maximize the retention of high-frequency sample information. Moreover, an adaptive control factor is added in the subsequent iterative update process to balance the sample spectrum function. This study verifies the effectiveness of the proposed method on both simulation and experimental images. The results show that the proposed method can effectively suppress image background noise and has a faster convergence speed and higher robustness. In addition, it can be used to reconstruct HR complex amplitude images of objects under wide field-of-view conditions | ||
650 | 4 | |a Journal Article | |
700 | 1 | |a Tan, Haishu |e verfasserin |4 aut | |
700 | 1 | |a Chen, Hanbao |e verfasserin |4 aut | |
700 | 1 | |a Zhu, Sicong |e verfasserin |4 aut | |
700 | 1 | |a Li, Jiancong |e verfasserin |4 aut | |
700 | 1 | |a Wu, Ruofei |e verfasserin |4 aut | |
700 | 1 | |a Wu, Yanxiong |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Optics express |d 1997 |g 30(2022), 11 vom: 23. Mai, Seite 18505-18517 |w (DE-627)NLM120955946 |x 1094-4087 |7 nnns |
773 | 1 | 8 | |g volume:30 |g year:2022 |g number:11 |g day:23 |g month:05 |g pages:18505-18517 |
856 | 4 | 0 | |u http://dx.doi.org/10.1364/OE.454615 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 30 |j 2022 |e 11 |b 23 |c 05 |h 18505-18517 |