Metabolomics is emerging as a powerful tool for studying metabolic processes, identifying crucial biomarkers responsible for metabolic characteristics and revealing metabolic mechanisms, which construct the content of discovery metabolomics. The crucial biomarkers can be used to reprogram a metabolome, leading to an aimed metabolic strategy to cope with alteration of internal and external environments, naming reprogramming metabolomics here. The striking feature on the similarity of the basic metabolic pathways and components among vastly different species makes the reprogramming metabolomics possible when the engineered metabolites play biological roles in cellular activity as a substrate of enzymes and a regulator to other molecules including proteins. The reprogramming metabolomics approach can be used to clarify metabolic mechanisms of responding to changed internal and external environmental factors and to establish a framework to develop targeted tools for dealing with the changes such as controlling and/or preventing infection with pathogens and enhancing host immunity against pathogens. This review introduces the current state and trends of discovery metabolomics and reprogramming metabolomics and highlights the importance of reprogramming metabolomics.
Animals ; Biomarkers ; metabolism ; Cytological Techniques ; Humans ; Metabolomics ; methods

A method combinating piezoelectric-biochip technique with cell culture technique in vitro has been developed. Piezoelectric cell-based chip (PCC) can continously monitor the behaviors of living cells attached to or spreaded on surfaces. The method measures the resonant frequency (f), the dissipation energy (D) and impedance (Z), in real time. These multi parameters can inflect information of cells qualitively and quantitively. This paper covers principle, materials and methods, results and discussion of the new technique, simultaniously indicates its application and trends.
Cytological Techniques ; instrumentation ; methods ; Electric Impedance ; Electrodes ; In Vitro Techniques ; Time Factors

Digital image processing is widely used in medical image. Segmentation is one of the important step in computer image processing. The essay introduces the procedure and effect of cell image segmentation by watershed algorithm.
Algorithms ; Cytological Techniques ; methods ; Image Processing, Computer-Assisted ; methods ; Pattern Recognition, Automated ; methods

Biopsy, Fine-Needle ; Cytodiagnosis ; methods ; Cytological Techniques ; methods ; Humans ; Neoplasms ; diagnosis ; pathology ; Quality Control

Cytological Techniques ; methods ; Diagnosis, Computer-Assisted ; Female ; Humans ; Vaginal Smears ; methods

Tissue engineering can serve as an alternative treatment for a malfunctioning or lost organ. Isolated and expanded cells adhere to a temporary scaffold, proliferate, and secrete their own extracellular matrices (ECM) replacing the biodegrading scaffold. The genitourinary system, composed of the kidney, ureter, bladder, urethra, and genital organs, is exposed to a variety of possible injury sites from the time of fetal development. All the urinary organs are mainly composed of smooth muscle and uroepithelial cells and which may be approached by tissue engineering techniques. A large number of materials, including naturally-derived and synthetic polymers have been utilized to fabricate prostheses for the genitourinary system. Usually, whenever there is a lack of native urologic tissue, reconstruction is considered with native non-urologic tissue, such as, gastrointestinal segments, or skin or mucosa from multiple body sites. Engineering tissues using selective cell transplantation may provide a means to create functional new genitourinary tissues. This review concerns urinary tissues reconstructed with bladder uroepithelial cells and smooth muscle cells (SMCs) implanted on biodegradable polymer matrices.
Animal ; Biomedical Engineering*/methods ; Bioreactors ; Cytological Techniques/trends ; Human ; Stem Cells/physiology ; Urinary Tract*

This paper introduces a new method for color blood cell image segmentation based on FCM algorithm. By transforming the original blood microscopic image to indexed image, and by doing the colormap, a fuzzy apparoach to obviating the direct clustering of image pixel values, the quantity of data processing and analysis is enormously compressed. In accordance to the inherent features of color blood cell image, the segmentation process is divided into two stages. (1)confirming the number of clusters and initial cluster centers; (2) altering the distance measuring method by the distance weighting matrix in order to improve the clustering veracity. In this way, the problem of difficult convergence of FCM algorithm is solved, the iteration time of iterative convergence is reduced, the execution time of algarithm is decreased, and the correct segmentation of the components of color blood cell image is implemented.
Algorithms ; Color ; Cytological Techniques ; methods ; Erythrocytes ; ultrastructure ; Humans ; Image Interpretation, Computer-Assisted ; Leukocytes ; ultrastructure

Intraoperative pleural lavage cytology is a diagnostic technique used to detect tumor cells and serve as a prognostic parameter for non-small cell lung cancer (NSCLC) patients. In the past several decades, many scholars have been dedicated to clarifying the relationships between positive intraoperative pleural lavage cytology results and postoperative survival as well as tumor recurrence and metastasis. However, the findings remained various due to the inhomogeneity of different research. It has been confirmed that a positive intraoperative pleural lavage cytology result is one of the risk factors for the prognosis of postoperative patients. This study reviewed the advances in research of intraoperative pleural lavage cytology in recent years from several aspects, including clinical significance, influencing factors and possible mechanisms.
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Cytological Techniques ; methods ; Humans ; Intraoperative Period ; Lung Neoplasms ; pathology ; surgery ; Pleura ; pathology

This paper describes the state and the development of the application of the modern and traditional image segmentation technology in cell slice image segmentation. It includes edge detection, regional segmentation, wavelet transform, fuzzy mathematics, artificial neural networks, morphological image segmentation and so on. At last, the paper summaries that it is difficult to generally segmentate any kind of biological cell slice image automatically because of the complex structure of cell and cell slice image is not even gray distributed. It should be pointed out that general automatic cell slice image segmentation will be achieved only if visual mathematics model corresponding to mammalian vision systems is setup entirely.
Algorithms ; Cytological Techniques ; Fuzzy Logic ; Image Processing, Computer-Assisted ; methods ; Neural Networks (Computer)

OBJECTIVE: To establish the diagnosis of amniotic fluid embolism with blood samples by liquid-based cytology technique and to study the validity of method. METHODS: The blood samples were collected from patients who suffered from amniotic fluid embolism. The components of amniotic fluid in blood samples were examined with blood smear by two direct smear methods (supernatant smear, sediment smear) and two liquid-based cytology methods (automatic smear, manual smear). The positive detection rate of each method was calculated. RESULTS: The positive detection rates of two liquid-based cytology methods (84.6% and 92.3%, respectively) were much higher than those of two direct methods (53.8% and 61.5%, respectively). CONCLUSION The liquid-based cytology technique could improve the positive detection rate of amniotic fluid embolism.
Amniotic Fluid ; Cytological Techniques/methods* ; Embolism, Amniotic Fluid/diagnosis* ; Female ; Humans ; Pregnancy