Đánh giá hiệu quả của ba phương pháp nuôi cấy tế bào ối và quy cách sử dụng demecolcine khi tạo tiêu bản NST thai

... 3.4.1.4. Phương pháp đánh giá kết quả Phương pháp nuôi cấy tế bào hiệu quả được xác định là các phương pháp có tỷ lệ nuôi cấy thành công cao, tế bào phát triển nhanh, thời gian nuôi cấy ngắn. ... của tế bào ối ở 3 phương pháp nuôi cấy, các mẫu cấy được quan sát, đánh giá và xác định thời điểm xuất hiện tế bào bám và tạo cụm, thời điểm đạt mức (+), mức (++). Thời điểm tế bào bám và tạo ... nổi rõ các băng. Băng 33Bảng 4.1: Tỷ lệ thành công của 3 phương pháp nuôi cấy tế bào ối Kết quả Phương pháp nuôi cấy Phương pháp 1 Phương pháp 2 Phương pháp 3 n % n % n % Thành công...

... trúc vi thể của tinh hoàn đòi hỏi phải tỷ mỉ, toàn diện. Trong các phương pháp đánh giá các tiêu bản sinh thiết tinh hoàn thì phương pháp xác định mật độ từng loại tế bào và phương pháp cho điểm ... áo xơ bao phủ ống sinh tinh và biểu mô cấu tạo bởi 2 loại tế bào là tế bào Sertoli và các tế bào dòng tinh. - Quá trình sinh tinh trải qua 3 giai đoạn: sinh tinh bào, giảm phân và tạo tinh ... kinh và mạch bạch huyết. Đến giai đoạn dậy thì, xuất hiện thêm 1 loại tế bào hình đa diện, bào tương chứa những giọt mỡ nhỏ. Những tế bào này gọi là tế bào kẽ hay tế bào Leydig, loại tế bào...

... MỤC TIÊU 1. Mục tiêu tổng quát 2. Mục tiêu cụ thể - Tổng kết và đánh giá hiện trạng kinh tế- xã hội và kỹ thuật canh tác các mô hình sản xuất của người nông dân trong mùa nước nổi để thấy và ... hình canh tác có hiệu quả - Phân tích và tổng hợp các số liệu điều tra để hiểu được tình hình kinh tế hộ và đánh giá được mô hình kinh tế nào là tối ưu - Nêu ra những khó khăn và thuận lợi chung ... ảnh hưởng đến hiệu quả của các mô hình từ đó giúp cho các nhà và đề ra các giải pháp khắc phục nhằm nâng cao hiệu quả của mô hình. - Có được bảng số liệu tổng kết tình hình kinh tế hộ - Tìm...

... QuangSở Giáo dục và Đào tạo Vónh LongĐiện thoại: 0913.889174kết hợp so với mô hình truyền thống, trồng 3 vụlúa/năm. Mục tiêu đề tài là đánh giá hiệu quả kinh tế của việc luân canh cây đậu nành và ... đồng vốncao và khác biệt so với L-L-L ở mức thống kê 5%(Bảng 1).Năng suất và hiệu quả kinh tế qua các năm+ Mô hình L-L-L: Bảng 2 cho thấy tổng năngsuất và tổng chi phí cả năm của L-L-L qua ... (SL), hiệu quả đồng vốn(HQĐV). Chỉ tiêu theo dõi trên đất: Đạm tổngsố (Nts) (Kieldahl), Amonium (NH4+) (Kieldahl) và Lân dễ tiêu (P2O5) (Bray II).KẾT QUẢ VÀ THẢO LUẬNSo sánh hiệu quả...

... cơ bản của tế bào và sự di truyền của nó sau khi nuôi cấy. ─ Cơ chế điều hòa và hoạt động của hệ gen ối với tế bào nuôi cấy. ─ Các phƣơng pháp và kỹ thuật áp dụng cho kỹ thuật nuôi cấy tế ... 5/17/2013 15 Các dạng nuôi cấy tế bào Nuôi cấy tế bào vi sinh vật  Nuôi cấy tế bào vi khuẩn  Nuôi cấy virus và các bacteriophage  Nuôi cấy tế bào VSV eukaryotes: nấm men, nấm ... có công nghệ nuôi cấy tế bào? Công nghệ nuôi cấy tế bào ngày nay khác với công nghệ nuôi cấy tế bào ngày xa xƣa nhƣ thế nào? Mục đích của nuôi cấy tế bào hiện đại? Lịch sử hình thành...

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 8ba3 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... dựa chủ yếu vào đặc điểm kiểu hình đặc biệt là các phản ứng sinh hóa. • Có 3 cách sử dụng các thử nghiệm sinh hóa để định danh VSV: • Cách truyền thống • Sử dụng các bộ KIT • Sử dụng các thiết ... Phƣơng pháp đo độ đục • Là phương pháp gián tiếp xác định mật độ vi sinh vật. • Định lượng mật độ tế bào thông qua đo độ đục bằng máy so màu ở các bước sóng từ 550 – 610 nm. • Phương pháp...

... thể, được sử dụng như các phương pháp để xem xét, đánh giá. Thứ hai đánh giá từng chính sách lựa chọn, kể cả mức nguyên trạng ối với từng mục tiêu đặt ra. Thứ ba, trong thực tế phương pháp này ... quả của dự án đang xem xét là hiệu quả trực tiếp còn hiệu quả của các dự án khác là hiệu quả gián tiếp 1.1.2.3 Hiệu quả trước mắt và hiệu quả lâu dài Căn cứ vào lợi ích nhận được trong những ... đánh giá hiệu quả dự án Phương pháp phòng tránh thiệt hại: là một trong những cách tiếp cận dựa trên chi phí (Cost-Based Method). Đây là phương pháp được sử dụng rất phổ biến để ước lượng giá...

... raE là hiệu quả 1.1.2 Phân loại hiệu quả Có nhiều cách để phân loại hiệu quả: hiệu quả tài chính - hiệu quả kinh tế; hiệu quả trực tiếp - hiệu quả gián tiếp; hiệu quả trước mắt - hiệu quả lâu ... số cách phân loại thường được sử dụng 1.1.2.1 Hiệu quả tài chính và hiệu quả kinh tế xã hội Hiệu quả tài chính còn được gọi là hiệu quả sản xuất - kinh doanh hay hiệu quả doanh nghiệp là hiệu ... và tên sinh viên: NGUYỄN THỊ HƯƠNG THẢO Giáo viên hướng dẫn:TS LÊ HÀ THANH Cán bộ hướng dẫn: VŨ TẤN PHƯƠNG1Chuyên đề tốt nghiệpCHƯƠNG I: SỬ DỤNG PHƯƠNG PHÁP CBA TRONG ĐÁNH GIÁ HIỆU QUẢ...

... phospholipid của tế bào thần kinh. Nhờ tác động của hệ kiềm ở môthuốc dễ chuyển sang dạng kiềm tự do để có thể ngấm vào qua màng tế bào thần kinh, khi vào trong tế bào, dạng kiềm tự do của bupivacain ... được sử dụng corticoid để hỗ trợ sự phát triển của thai và cho phép mổ lấy thai theo chương trình dưới gây tê vùng.* Khi tuổi thai > 34 tuần- Có thể lấy thai đường tự nhiên khi tình trạng thai ... dịch và phù phổi cấp.261.2.7.2. Điều trị sản khoaa. Đình chỉ thai nghénCơ chế bệnh sinh của TSG là do tình trạng thiếu máu của rau thai vì vậy cách điều trị triệt để và hiệu quả nhất là lấy thai...

... CHƯƠNG I: SỬ DỤNG PHƯƠNG PHÁP CBA TRONG ĐÁNH GIÁ HIỆU QUẢ DỰ ÁN 3 1.1 Một số vấn đề về hiệu quả 3 1.1.1 Khái niệm chung về hiệu quả 3 1.1.2 Phân loại hiệu quả 3 1.1.3 Đánh giá hiệu quả ối với ... tiếp - hiệu quả gián tiếp; hiệu quả trước mắt - hiệu quả lâu dài sau đây chúng ta xét một số cách phân loại thường được sử dụng 1.1.2.1 Hiệu quả tài chính và hiệu quả kinh tế xã hội Hiệu quả ... chế này người ta thường sử dụng hai phương pháp là phương pháp CBA định tính và phương pháp phân tích chi phí hiệu quả. Nguyên tắc của phương pháp CBA định tính là những giá trị lượng hóa được...