![[Translate to chinese:] AI-based cell counting performed with a phase-contrast and fluorescence image using the Mateo FL microscope. AI-based_cell_counting_performed_with_phase-contrast_and_fluorescence_image.jpg](/fileadmin/_processed_/d/9/csm_AI-based_cell_counting_performed_with_phase-contrast_and_fluorescence_image_b9c315471c.jpg "[Translate to chinese:] AI-based cell counting performed with a phase-contrast and fluorescence image using the Mateo FL microscope.")
手动与基于人工智能的细胞计数
细胞的手动计数是费力、耗时且容易受主观性和人为错误影响，导致结果不一致。对高通量和可重复性的不断增长需求意味着需要技术解决方案来克服手动细胞计数的局限性。在 2D 细胞培养的细胞计数中，一种提高精度和效率的解决方案AI。该方法可以简化细胞计数过程，减少人为错误，并提供比手动计数更高水平的准确性和效率。
AI细胞计数
基于AI的细胞计数方法利用：
- 具有深度学习的最先进图像分析算法
- 高效细胞分割和计数的图像分析算法
- 数据预处理以确保AI模型的最佳输入
- 使用预训练的深度学习模块进行细胞识别
因此，AI细胞计数提供了更高效率，让使用者可以投入更多时间和精力用于其他研究任务。AI模型适应各种实验条件和细胞类型。
![[Translate to chinese:] Image of confluent cells taken with phase contrast (left) and analyzed for confluency using AI (right).](/fileadmin/_processed_/3/6/csm_Confluent_cells_with_phase_contrast_and_analyzed_for_confluency_using_AI_3f9c797c66.jpg "[Translate to chinese:] Image of confluent cells taken with phase contrast (left) and analyzed for confluency using AI (right).")
![[Translate to chinese:] AI-based transfection analysis (left) of U2OS cells which were transfected with a fluorescently labelled protein. A fluorescence image of the cells (right) is also shown. The analysis and imaging were performed with Mateo FL.](/fileadmin/_processed_/4/c/csm_AI-based_analysis_of_U2OS_cells_transfected_with_fluorescently_labelled_protein_0584a251db.jpg "[Translate to chinese:] AI-based transfection analysis (left) of U2OS cells which were transfected with a fluorescently labelled protein. A fluorescence image of the cells (right) is also shown. The analysis and imaging were performed with Mateo FL.")
