Ciliates are eukaryotic unicellular organisms with complex morphology and developmental processes,including asexual and sexual processes.Conjugation is a form of sexual process that renews genetic materials.However,vi...Ciliates are eukaryotic unicellular organisms with complex morphology and developmental processes,including asexual and sexual processes.Conjugation is a form of sexual process that renews genetic materials.However,visualizing conjugation in ciliates is a challenge due to the complexity and dynamics of the process,while traditional staining methods are often insufficient for the research.This study introduces a new method for visualizing developmental progression in the nuclei during conjugation using Hoechst33342 staining.It describes how to proceed from cell culture,conjugation induction and synchronization,staining preparation,and observation to statistical analysis.The combination of fluorescent staining with the‘volume-fixing'technique eliminates the fixation and dehydration steps,thus reducing the overall operation time to just 20 minutes.This method offers several advantages over traditional staining techniques for studying the nuclei during conjugation.It improves image quality and workflow efficiency and enables real-time observation of live cell states.Potential solutions to challenges that may arise during experimental procedures are introduced and references and guidelines for cytological research are provided in this paper.展开更多
Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of s...Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;andhypertensionwerecollected.Thetongueimageswererandomi-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification performance.The loss curve and accuracy were stable;showing no signs of overfitting.The model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95;respectively.Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.展开更多
One of the significant features of The Human Stain is that it lays bare the reality of American society and censures the Anglo-Saxon or white discourse.What are equally important are the multiple narrative strategies ...One of the significant features of The Human Stain is that it lays bare the reality of American society and censures the Anglo-Saxon or white discourse.What are equally important are the multiple narrative strategies that Philip R oth employs in the novel.T his paper focuses mainly on the elaboration of such narrative strategies as mimesis and diegesis,complicated narrative time,shifting focalizations,and narration or non-narrative comments,so as to point out that these narrative strategies add colors to its( postmodern) artistic features,becoming an integral component of this novel.展开更多
AIM: To explore an efficient, practical and objective quantitative method to evaluate the retinal neovascularization in mouse model of oxygen induced retinopathy (OIR). METHODS: Thirty C57BL/6J mice were explored in O...AIM: To explore an efficient, practical and objective quantitative method to evaluate the retinal neovascularization in mouse model of oxygen induced retinopathy (OIR). METHODS: Thirty C57BL/6J mice were explored in OIR model procedure. Eyes were removed for different staining methods including: (1) HE staining; (2) immunohistochemistry with Griffonia Simplicifolia Lectin (GSL); (3) Immunofluorescence with FITC labeled CD31 antibody; (4) Two-step immunofluorescence with purified-CD31 antibody; (5) FITC-Dextran perfusion combined with two-step purified-CD31immunofluorescence. Images of the retinal vasculature were analyzed by imaging software. ' RESULTS: GSL immunohistochemistry could clearly demonstrate the deep and superficial capillary beds. FITC labeled CD31 Immunofluorescence was blurring with high fluorescence background which was hard to distinguish retinal neovascularization in some area. Excellent detail of neovascularization and preexistent retinal vessels was provided in two-step Purified-CD31 immunofluorescence group. CONCLUSION: GSL immunohistochemistry can clearly demonstrate neovascularization tufts in deep and superficial capillary beds. Immunofluorescence of specific antigen CD31 on vascular endothelium can selectively label the neovascularization of mouse retina. When combined with computer analysis software, it is an effective and objective quantitative method to evaluate the retinal neovascularization in OIR mouse model.展开更多
基金supported by the National Natural Science Foundation of China(No.32270558)。
文摘Ciliates are eukaryotic unicellular organisms with complex morphology and developmental processes,including asexual and sexual processes.Conjugation is a form of sexual process that renews genetic materials.However,visualizing conjugation in ciliates is a challenge due to the complexity and dynamics of the process,while traditional staining methods are often insufficient for the research.This study introduces a new method for visualizing developmental progression in the nuclei during conjugation using Hoechst33342 staining.It describes how to proceed from cell culture,conjugation induction and synchronization,staining preparation,and observation to statistical analysis.The combination of fluorescent staining with the‘volume-fixing'technique eliminates the fixation and dehydration steps,thus reducing the overall operation time to just 20 minutes.This method offers several advantages over traditional staining techniques for studying the nuclei during conjugation.It improves image quality and workflow efficiency and enables real-time observation of live cell states.Potential solutions to challenges that may arise during experimental procedures are introduced and references and guidelines for cytological research are provided in this paper.
基金National Natural Science Foundation of China(82274411)Science and Technology Innovation Program of Hunan Province(2022RC1021)Leading Research Project of Hunan University of Chinese Medicine(2022XJJB002).
文摘Objective To build a dataset encompassing a large number of stained tongue coating images and process it using deep learning to automatically recognize stained tongue coating images.Methods A total of 1001 images of stained tongue coating from healthy students at Hunan University of Chinese Medicine and 1007 images of pathological(non-stained)tongue coat-ing from hospitalized patients at The First Hospital of Hunan University of Chinese Medicine withlungcancer;diabetes;andhypertensionwerecollected.Thetongueimageswererandomi-zed into the training;validation;and testing datasets in a 7:2:1 ratio.A deep learning model was constructed using the ResNet50 for recognizing stained tongue coating in the training and validation datasets.The training period was 90 epochs.The model’s performance was evaluated by its accuracy;loss curve;recall;F1 score;confusion matrix;receiver operating characteristic(ROC)curve;and precision-recall(PR)curve in the tasks of predicting stained tongue coating images in the testing dataset.The accuracy of the deep learning model was compared with that of attending physicians of traditional Chinese medicine(TCM).Results The training results showed that after 90 epochs;the model presented an excellent classification performance.The loss curve and accuracy were stable;showing no signs of overfitting.The model achieved an accuracy;recall;and F1 score of 92%;91%;and 92%;re-spectively.The confusion matrix revealed an accuracy of 92%for the model and 69%for TCM practitioners.The areas under the ROC and PR curves were 0.97 and 0.95;respectively.Conclusion The deep learning model constructed using ResNet50 can effectively recognize stained coating images with greater accuracy than visual inspection of TCM practitioners.This model has the potential to assist doctors in identifying false tongue coating and prevent-ing misdiagnosis.
文摘One of the significant features of The Human Stain is that it lays bare the reality of American society and censures the Anglo-Saxon or white discourse.What are equally important are the multiple narrative strategies that Philip R oth employs in the novel.T his paper focuses mainly on the elaboration of such narrative strategies as mimesis and diegesis,complicated narrative time,shifting focalizations,and narration or non-narrative comments,so as to point out that these narrative strategies add colors to its( postmodern) artistic features,becoming an integral component of this novel.
基金Supported by National Natural Science Foundation of China(No.30973899)
文摘AIM: To explore an efficient, practical and objective quantitative method to evaluate the retinal neovascularization in mouse model of oxygen induced retinopathy (OIR). METHODS: Thirty C57BL/6J mice were explored in OIR model procedure. Eyes were removed for different staining methods including: (1) HE staining; (2) immunohistochemistry with Griffonia Simplicifolia Lectin (GSL); (3) Immunofluorescence with FITC labeled CD31 antibody; (4) Two-step immunofluorescence with purified-CD31 antibody; (5) FITC-Dextran perfusion combined with two-step purified-CD31immunofluorescence. Images of the retinal vasculature were analyzed by imaging software. ' RESULTS: GSL immunohistochemistry could clearly demonstrate the deep and superficial capillary beds. FITC labeled CD31 Immunofluorescence was blurring with high fluorescence background which was hard to distinguish retinal neovascularization in some area. Excellent detail of neovascularization and preexistent retinal vessels was provided in two-step Purified-CD31 immunofluorescence group. CONCLUSION: GSL immunohistochemistry can clearly demonstrate neovascularization tufts in deep and superficial capillary beds. Immunofluorescence of specific antigen CD31 on vascular endothelium can selectively label the neovascularization of mouse retina. When combined with computer analysis software, it is an effective and objective quantitative method to evaluate the retinal neovascularization in OIR mouse model.
