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Zhou X, Li Z, Qiao Z, Wang Y, Huang G, Chi D, Li X, Liu S, Liu Z. Fast autofocusing of recorded planes by salient feature region for coherent diffraction imaging. JOURNAL OF BIOPHOTONICS 2024; 17:e202300278. [PMID: 37717259 DOI: 10.1002/jbio.202300278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/18/2023] [Accepted: 09/13/2023] [Indexed: 09/19/2023]
Abstract
In multi-distance coherent diffraction imaging, the task of distance calculation for multi-diffraction images is cumbersome. The information features are hard-to-extract and the region of interest extraction algorithms are difficult to be adopted. A universal salient feature region selection algorithm by using the area with the highest density of corners is proposed to extract the most representative feature region. In addition, equally spaced recording modes and mismatched diffraction distances will result in system noise and destroy image quality. The polydirectional maximum gradient is offered as a sharpness criterion to weigh a quantitative feature for the final pattern. A fast, sensitive, and high-accuracy autofocusing and sample reconstruction can be achieved using only a small number of images while ensuring that morphological properties and quantification of the reconstructions are not compromised. The proposed method is promising for biological and medical dynamic observations for computational imaging systems.
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Affiliation(s)
- Xuyang Zhou
- School of Physics, Harbin Institute of Technology, Harbin, China
| | - Ziyang Li
- School of Physics, Harbin Institute of Technology, Harbin, China
| | - Ziling Qiao
- School of Physics, Harbin Institute of Technology, Harbin, China
| | - Yiran Wang
- School of Physics, Harbin Institute of Technology, Harbin, China
| | - Guancheng Huang
- School of Physics, Harbin Institute of Technology, Harbin, China
| | - Dazhao Chi
- State Key Laboratory of Advanced Welding and Joining, Harbin Institute of Technology, Harbin, China
| | - Xiaomei Li
- Department of Pathology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Shutian Liu
- School of Physics, Harbin Institute of Technology, Harbin, China
| | - Zhengjun Liu
- School of Physics, Harbin Institute of Technology, Harbin, China
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Bao H, Li X, Cao Z, Huang Z, Chen L, Wang M, Hu J, Li W, Sun H, Jiang X, Mei P, Li H, Lu L, Zhan M. Identification of COPA as a potential prognostic biomarker and pharmacological intervention target of cervical cancer by quantitative proteomics and experimental verification. J Transl Med 2022; 20:18. [PMID: 34991628 PMCID: PMC8740354 DOI: 10.1186/s12967-021-03218-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 12/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cervical cancer is the most fatal gynecological carcinoma in the world. It is urgent to explore novel prognostic biomarkers and intervention targets for cervical cancer. METHODS Through integrated quantitative proteomic strategy, we investigated the protein expression profiles of cervical cancer; 28 fresh frozen tissue samples (11 adenocarcinoma (AC), 12 squamous cell carcinoma (SCC) and 5 normal cervixes (HC)) were included in discover cohort; 45 fresh frozen tissue samples (19 AC, 18 SCC and 8 HC) were included in verification cohort; 140 paraffin-embedded tissues samples of cervical cancer (85 AC and 55 SCC) were used for immunohistochemical evaluation (IHC) of coatomer protein subunit alpha (COPA) as a prognostic biomarker for cervical cancer; how deficiency of COPA affects cell viability and tumorigenic ability of cervical cancer cells (SiHa cells and HeLa cells) were evaluated by cell counting kit-8 and clone formation in vitro. RESULTS We identified COPA is a potential prognostic biomarker for cervical cancer in quantitative proteomics analysis. By retrospective IHC analysis, we additionally verified the proteomics results and demonstrated moderate or strong IHC staining for COPA is an unfavourable independent prognostic factor for cervical cancer. We also identified COPA is a potential pharmacological intervention target of cervical cancer by a series of in vitro experiments. CONCLUSION This study is the first to demonstrate that COPA may contribute to progression of cervical cancer. It can serve as a potential prognostic biomarker and promising intervention target for cervical cancer.
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Affiliation(s)
- Huiqiong Bao
- The Second School of Clinical Medicine, Southern Medical University, Department of Gynaecology, Guangzhou, China.,Department of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiaobin Li
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Zhixing Cao
- Department of Pathology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Zhihong Huang
- Department of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Li Chen
- Zhuhai Center for Maternal and Child Health Care, Zhuhai Women and Childen's Hospital, Zhuhai, China
| | - Mingbing Wang
- The Second School of Clinical Medicine, Southern Medical University, Department of Gynaecology, Guangzhou, China.,Department of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jiali Hu
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Wenting Li
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Hongwei Sun
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Xue Jiang
- Department of Gynecology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China
| | - Ping Mei
- Department of Gynaecology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Huawen Li
- Department of Gynecology, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China.
| | - Ligong Lu
- The Second School of Clinical Medicine, Southern Medical University, Department of Gynaecology, Guangzhou, China. .,Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China. .,Center of Intervention Radiology, Zhuhai Precision Medicine Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
| | - Meixiao Zhan
- Zhuhai Precision Medical Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, China. .,Center of Intervention Radiology, Zhuhai Precision Medicine Center, Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China.
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