A5101766408- Digital Holography and Microscopy
- Image Processing Techniques and Applications
- Optical measurement and interference techniques
- RNA modifications and cancer
- Cell Image Analysis Techniques
- RNA Research and Splicing
- Advanced X-ray Imaging Techniques
- Cancer-related molecular mechanisms research
- Adaptive optics and wavefront sensing
- Lung Cancer Treatments and Mutations
- Glycosylation and Glycoproteins Research
- Advanced Electron Microscopy Techniques and Applications
- Cancer Cells and Metastasis
- Caveolin-1 and cellular processes
- Cancer, Lipids, and Metabolism
- Smart Agriculture and AI
- Ferroptosis and cancer prognosis
- Circular RNAs in diseases
- Single-cell and spatial transcriptomics
- Optimization and Packing Problems
- Genetic factors in colorectal cancer
- Ubiquitin and proteasome pathways
- Autophagy in Disease and Therapy
- Vehicle Routing Optimization Methods
- Lung Cancer Research Studies
Nanjing University of Science and Technology
2020-2025
First Affiliated Hospital of Dalian Medical University
2017-2024
Jilin Agricultural University
2015-2024
Dalian Medical University
2017-2024
University of Science and Technology of China
2023
Jilin University
2022
Abstract Computational microscopy, as a subfield of computational imaging, combines optical manipulation and image algorithmic reconstruction to recover multi-dimensional microscopic images or information micro-objects. In recent years, the revolution in light-emitting diodes (LEDs), low-cost consumer sensors, modern digital computers, smartphones provide fertile opportunities for rapid development microscopy. Consequently, diverse forms microscopy have been invented, including holographic...
The number of wheat spikes per unit area is one the most important agronomic traits associated with yield. However, quick and accurate detection for counting faces persistent challenges due to complexity field conditions. This work has trained a RetinaNet (SpikeRetinaNet) based on several optimizations detect count efficiently. consists improvements. First, weighted bidirectional feature pyramid network (BiFPN) was introduced into (FPN) RetinaNet, which could fuse multiscale features...
We propose a high-accuracy artifacts-free single-frame digital holographic phase demodulation scheme for relatively low-carrier frequency holograms—deep learning assisted variational Hilbert quantitative imaging (DL-VHQPI). The method, incorporating conventional deep neural network into complete physical model utilizing the idea of residual compensation, reliably and robustly recovers information test objects. It can significantly alleviate spectrum-overlapping-caused artifacts under...
The Whale Optimization Algorithm (WOA) is regarded as a classic metaheuristic algorithm, yet it suffers from limited population diversity, imbalance between exploitation and exploration, low solution accuracy. In this paper, we propose the Spiral-Enhanced (SEWOA), which incorporates nonlinear time-varying self-adaptive perturbation strategy an Archimedean spiral structure into original WOA. enhances diversity of space, aiding algorithm in escaping local optima. optimization dynamic improves...
Abstract Y-box binding protein 1 (YBX1) is involved in the development of multiple types tumors. However, relationship between YBX1 and autophagy non-small cell lung cancer (NSCLC) remains unclear. In this study, we analyzed expression clinical significance markers (LC3I/II) NSCLC examined their roles regulating sensitivity to cisplatin NSCLC. The retrospective analysis patients with indicated that was positively correlated autophagy. Increased levels or also observed cells compared those...
Quantitative phase imaging (QPI) is a valuable tool for investigating weakly absorbing specimens, such as cells and tissues. Digital holographic microscopy (DHM), classical QPI technique, enables non-invasive, long-term observation of living cell segmentation further analysis. In this work, we propose deep learning-assisted high-accuracy method (DL-HACS) quantitative live-cell analysis with DHM. DL-HACS, employed two distinct learning models to independently obtain the foreground centroid...
// Tao Guo 1, 2, * , Shilei Zhao Peng Wang Xiaoyuan Xue 3 Yan Zhang 4 Mengying Yang Nan Li Zhuoshi 2 Lingzhi Xu 5 Lei Jiang 6 Patrick C. Ma 7 Rafael Rosell 8 Jinxiu and Chundong Gu 1 Department of Thoracic Surgery, The First Affiliated Hospital Dalian Medical University, 116011, China Lung Cancer Diagnosis Treatment Center Dalian, Institute Stem Cell, 116044, Radiation Oncology, Qianfoshan to Shandong Jinan 250000, Second Hospital, Fourth Anhui Hefei 230000, Aerodigestive Oncology...
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell methods are often tailored to specific modalities or require manual interventions specify hyper-parameters different experimental settings. Here, we present multi-modality benchmark, comprising over 1500 labeled images derived from more than 50 diverse biological experiments. The top participants developed Transformer-based deep-learning algorithm that not only exceeds existing but...
Aberrant overexpression of the transcription/translation factor Y-box-binding protein-1 (YBX1) is associated with non-small cell lung cancer (NSCLC) aggressiveness. Cancer stem cells (CSCs) contribute to tumorigenesis and metastasis NSCLC. Hitherto, mechanism by which YBX1 regulates CSCs in NSCLC remains unclear. Here, we demonstrated that levels were elevated tissues lines. Enforced expression promoted invasion, sphere forming ability ALDH1+ population. Conversely, reduced impaired CSC...
Abnormal expression of the transcription factor Y-box-binding protein-1 (YBX1) is associated with proliferation, migration, aggressiveness, and stem-like properties various cancers. These characteristics contribute to tumorigenesis metastasis cancer. We found that levels Mucin-1 (MUC1) YBX1 were positively correlated in lung adenocarcinoma cells tissue. Our retrospective cohort study 176 patients after surgery showed low both MUC1 was an independent predictor prognosis recurrence...
Carcinoma‑associated fibroblasts (CAFs) are essential for initiating lung cancer cell invasion and metastasis. An elevated MACC1 expression has been implicated in the progression of adenocarcinoma. Hitherto, role adenocarcinoma‑derived CAFs remains unclear. In this study, isolated from tissues patients with adenocarcinoma expressed typical CAF markers (shown by immunohistochemical immunofluorescence analysis) exhibited enhanced migration abilities when co‑cultured A549 cells a microfluidic...
In recent years, lensfree on-chip microscopy has developed into a promising and powerful computational optical technique that allows for wide-field, high-throughput microscopic imaging without using any lenses. However, due to the limited pixel size of state-of-the-art image sensors, lens-free generally suffers from low resolution, which is far enough meet current demand high-resolution microscopy. Many super-resolution techniques have been solve or at least partially this problem by...
Slightly off-axis digital holographic microscopy (DHM) is the extension of holography imaging technology toward high-throughput modern optical technology. However, it difficult for method based on conventional linear Fourier domain filtering to solve artifacts caused by spectral aliasing problem. In this article, we propose a novel high-accuracy, artifacts-free, single-frame, phase demodulation scheme low-carrier-frequency holograms, which incorporates physical model into deep neural network...
Slightly off-axis digital holographic microscopy (DHM) has recently gained considerable attention due to its unique ability improve the space-bandwidth product (SBP) of imaging system while separating object information from background intensity a certain extent. In order obtain decent image reconstruction, spectral aliasing problem still needs be addressed, which, however, is difficult achieved by conventional linear Fourier domain filtering. To this end, in paper, we propose...
BACKGROUND: Patients with small (⩽ 2 cm) invasive lung adenocarcinoma are at high risk of poor prognosis and disease recurrence after complete surgical resection. Therefore, identification high-risk individuals from these patients emerges as an urgent problem. Elevated MACC1 expression predicts a in multiple types cancer that independent TNM staging. This study investigated the prognostic value adenocarcinoma. OBJECTIVE: The current aimed to evaluate relationship between patients' tumor...
A commercialized digital holographic microscope with complete software supporting is composed of and hardware, also has quantitative phase recovery compensation algorithm support. The calculation speed can reach thirty frames per second, the resolution 0.775 μm under a 20 times 0.4 NA objective lens, which realize subcellular three-dimensional reconstruction thickness distribution measurement transparent samples in real-time high resolution. This paper describes optical path geometry, flow...
Breast cancer stem cells are responsible for initiation, progression, and drug resistance. However, effective targeting strategies against the cell subpopulation still limited. Here, we unveil two splice variants of very-low-density lipoprotein receptor, VLDLR-I -II, which highly expressed in breast cells. In cells, VLDLR silencing suppresses sphere formation abilities vitro tumor growth vivo. We find that knockdown induces transition from self-renewal to quiescence. Surprisingly,...
Label-free quantitative phase imaging is an essential tool for studying in vitro living cells various research fields of life sciences. Digital holographic microscopy (DHM) a non-destructive full-field technique that provides images by directly measuring the optical path differences, which facilitates cell segmentation and allows determination several important cellular physical features, such as dry mass. In this work, we present systematic analysis framework live-cell morphological...
Non-interferometric quantitative phase imaging based on intensity-only measurement is often plagued by low-frequency missing problems due to the difficulty of meeting matched illumination condition. Here, we analyze reasons from transfer function perspective and present several methods address this challenging issue.
Dysregulation of alternative pre-mRNA splicing plays a critical role in the progression cancers, yet underlying molecular mechanisms remain largely unknown. It is reported that metastasis-associated colon cancer 1 (MACC1) novel prognostic and predictive marker many types including lung adenocarcinoma. Here, we reveal oncogene MACC1 specifically drives adenocarcinoma through its control over cancer-related events. depletion inhibits triggering IRAK1 from long isoform, IRAK1-L, to shorter...
The identification and classification of various phenotypic features Auricularia cornea fruit bodies are crucial for quality grading breeding efforts. encompass size, number, shape, color, pigmentation, damage. These distributed across views the bodies, making task achieving both rapid accurate challenging. This paper proposes a novel multi-view multi-label fast network that integrates two different fruiting body, enabling precise six simultaneously. Initially, feature extraction model based...
Abstract Metastasis-associated in colon cancer-1 (MACC1) was identified as a new player lung cancer development, and some stemness-related genes can be novel transcriptional targets of MACC1. Cancer stem cells (CSCs) are responsible for sustaining tumorigenesis plasticity. Both CSCs non-CSCs plastic capable undergoing phenotypic transition, especially the dedifferentiation switch to CSC-like cells. However, precise role MACC1 during this process is largely unknown. Here, we showed that...