One-step embedding method for maintaining orientation of pathological tissue specimens using agar thin films

嵌入 生物医学工程 琼脂 方向(向量空间) 染色 材料科学 计算机科学 病理 生物 人工智能 医学 数学 几何学 遗传学 细菌
作者
Atsushi Uchiyama,Fumikazu Kimura,Yoshie Wakatsuki,Erika Yoshida,Ayako Kato,Kurumi Kato,Rio Yoshida,Y. Ito,Akira Okimura,Munehide Nakatsugawa
出处
期刊:Journal of Clinical Pathology [BMJ]
卷期号:76 (12): 855-859
标识
DOI:10.1136/jcp-2023-209068
摘要

Pathological histology examination involves handling a variety of specimens that are cut according to regulations and placed in cassettes. Tissue fragments in the cassettes are then diagnosed after processing, embedding, thin sectioning, staining and other procedures using a processing machine. Maintaining tissue fragment order and orientation during these processes is important for accurate diagnosis. In this study, we present a method of maintaining tissue fragment order and orientation using a thin film of ultra-high-strength agar and evaluate its usefulness during tissue sectioning.Cassettes were prepared, each containing three pieces of porcine liver, and compared embedding time with and without agar thin films (ATFs). Embedding was performed by three medical laboratory scientists with different levels of experience.To enable one-step tissue sample embedding, ATFs were integrated with samples in the cassettes. This resulted in an average reduction of 6.22 s of embedding time per cassette compared with traditional embedding methods.Through the use of ATFs, tissue fragment order and orientation is maintained, and embedding process time shortened. Additionally, ATFs are easily prepared and stored in 10% neutral buffered formalin over extended periods, allowing for immediate use during sectioning. This method is ideal to implement in busy pathology laboratories.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
l六分之一完成签到,获得积分10
1秒前
1秒前
wckow发布了新的文献求助10
2秒前
一天八杯水完成签到,获得积分10
3秒前
雷城123完成签到,获得积分10
3秒前
Qing发布了新的文献求助10
4秒前
EMMA发布了新的文献求助10
4秒前
结实的慕凝完成签到,获得积分10
4秒前
5秒前
得鹿梦鱼完成签到,获得积分10
5秒前
5秒前
动听山芙发布了新的文献求助10
5秒前
如意枫叶完成签到,获得积分10
5秒前
科研顺利完成签到 ,获得积分10
6秒前
悄悄是心上的肖肖完成签到 ,获得积分10
6秒前
毕葛完成签到 ,获得积分0
8秒前
8秒前
licheng完成签到,获得积分10
8秒前
淡然白安发布了新的文献求助30
9秒前
xuz发布了新的文献求助10
9秒前
别摆烂了完成签到,获得积分10
9秒前
10秒前
郭翔完成签到,获得积分10
10秒前
蛋泥完成签到,获得积分10
10秒前
黎黎原上草完成签到,获得积分10
10秒前
EMMA完成签到,获得积分10
10秒前
jianguo完成签到,获得积分10
10秒前
XHW发布了新的文献求助10
11秒前
xiaolei发布了新的文献求助10
11秒前
123发布了新的文献求助10
12秒前
12秒前
研友_8yN60L完成签到,获得积分10
12秒前
语秋完成签到,获得积分10
14秒前
genglei发布了新的文献求助10
14秒前
14秒前
郑思榆完成签到 ,获得积分10
14秒前
罗Eason发布了新的文献求助20
15秒前
15秒前
天天快乐应助笨笨松采纳,获得10
16秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
Essentials of Performance Analysis in Sport 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3733673
求助须知:如何正确求助?哪些是违规求助? 3277928
关于积分的说明 10005704
捐赠科研通 2994029
什么是DOI,文献DOI怎么找? 1642893
邀请新用户注册赠送积分活动 780690
科研通“疑难数据库(出版商)”最低求助积分说明 748968