PMID- 34266038
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20210727
LR  - 20210727
IS  - 1094-4087 (Electronic)
IS  - 1094-4087 (Linking)
VI  - 29
IP  - 13
DP  - 2021 Jun 21
TI  - DL-SI-DHM: a deep network generating the high-resolution phase and amplitude 
      images from wide-field images.
PG  - 19247-19261
LID - 10.1364/OE.424718 [doi]
AB  - Structured illumination digital holographic microscopy (SI-DHM) is a 
      high-resolution, label-free technique enabling us to image unstained biological 
      samples. SI-DHM has high requirements on the stability of the experimental setup 
      and needs long exposure time. Furthermore, image synthesizing and phase 
      correcting in the reconstruction process are both challenging tasks. We propose a 
      deep-learning-based method called DL-SI-DHM to improve the recording, the 
      reconstruction efficiency and the accuracy of SI-DHM and to provide 
      high-resolution phase imaging. In the training process, high-resolution amplitude 
      and phase images obtained by phase-shifting SI-DHM together with wide-field 
      amplitudes are used as inputs of DL-SI-DHM. The well-trained network can 
      reconstruct both the high-resolution amplitude and phase images from a single 
      wide-field amplitude image. Compared with the traditional SI-DHM, this method 
      significantly shortens the recording time and simplifies the reconstruction 
      process and complex phase correction, and frequency synthesizing are not required 
      anymore. By comparsion, with other learning-based reconstruction schemes, the 
      proposed network has better response to high frequencies. The possibility of 
      using the proposed method for the investigation of different biological samples 
      has been experimentally verified, and the low-noise characteristics were also 
      proved.
FAU - Meng, Zhang
AU  - Meng Z
FAU - Pedrini, Giancarlo
AU  - Pedrini G
FAU - Lv, Xiaoxu
AU  - Lv X
FAU - Ma, Jun
AU  - Ma J
FAU - Nie, Shouping
AU  - Nie S
FAU - Yuan, Caojin
AU  - Yuan C
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Opt Express
JT  - Optics express
JID - 101137103
SB  - IM
EDAT- 2021/07/17 06:00
MHDA- 2021/07/17 06:01
CRDT- 2021/07/16 01:00
PHST- 2021/07/16 01:00 [entrez]
PHST- 2021/07/17 06:00 [pubmed]
PHST- 2021/07/17 06:01 [medline]
AID - 451702 [pii]
AID - 10.1364/OE.424718 [doi]
PST - ppublish
SO  - Opt Express. 2021 Jun 21;29(13):19247-19261. doi: 10.1364/OE.424718.