实验计划申请表
项目编号:
${sampleInfo.projectNo!' '}
课题名称
${pathological.subjectName!}
课题负责人
${pathological.subjectLeaderName!}
申请人
${sampleInfo.applicantName!}
申请日期
${sampleInfo.applyDate!}
检测人员
${sampleInfo.inspectorName!}
1
<#if pathological.xkts?? && pathological.xkts > -1 >
<#else >
修块脱水:
样本数量
<#if pathological.xkts?? && pathological.xkts > -1 >
${pathological.xkts!}
<#if pathological.slbm?? && pathological.slbm > -1 >
<#else >
石蜡包埋:
样本数量
<#if pathological.slbm?? && pathological.slbm > -1 >
${pathological.slbm!}
取材方式：
<#if pathological.qcfs?? && pathological.qcfs?contains('常规') >
<#else >
常规
<#if pathological.qcfs?? && pathological.qcfs?contains('穿刺') >
<#else >
穿刺
固定液类型：
<#if pathological.gdy?? && pathological.gdy?contains('常规') >
<#else >
常规
<#if pathological.gdy?? && pathological.gdy?contains('Carnoy') >
<#else >
Carnoy
液
<#if pathological.gdy?? && pathological.gdy?contains('其他') >
<#else >
其他
<#if pathological.gdyQt?? >
${pathological.gdyQt!}
2
<#if pathological.sllk > -1 || pathological.slqp > -1 >
<#else >
石蜡切片:
蜡块数量
<#if pathological.sllk?? && pathological.sllk > -1 >
${pathological.sllk!}
切片数量
<#if pathological.slqp?? && pathological.slqp > -1 >
${pathological.slqp!}
<#if pathological.bdyb > -1 || pathological.bdqp > -1 >
<#else >
冰冻切片:
样本数量
<#if pathological.bdyb?? && pathological.bdyb > -1 >
${pathological.bdyb!}
切片数量
<#if pathological.bdqp?? && pathological.bdqp > -1 >
${pathological.bdqp!}
3
<#if pathological.he?? && pathological.he > -1 >
<#else >
HE
染色
:
切片数量
<#if pathological.he?? && pathological.he > -1 >
${pathological.he!}
<#if pathological.masson?? && pathological.masson > -1 >
<#else >
MASSON
染色：
切片数量
<#if pathological.masson?? && pathological.masson > -1 >
${pathological.masson!}
<#if pathological.psr?? && pathological.psr > -1 >
<#else >
PSR
染色：
切片数量
<#if pathological.psr?? && pathological.psr > -1 >
${pathological.psr!}
<#if pathological.pas?? && pathological.pas > -1 >
<#else >
PAS
染色：
切片数量
<#if pathological.pas?? && pathological.pas > -1 >
${pathological.pas!}
<#if pathological.yho?? && pathological.yho > -1 >
<#else >
油红
O
染色：
<#if pathological.yho?? && pathological.yho > -1 >
切片数量 ${pathological.yho!}
<#if pathological.fjb?? && pathological.fjb > -1 >
<#else >
FJB
染色：
<#if pathological.fjb?? && pathological.fjb > -1 >
切片数量 ${pathological.fjb!}
<#if pathological.evg?? && pathological.evg > -1 >
<#else >
EVG
染色：
<#if pathological.evg?? && pathological.evg > -1 >
切片数量 ${pathological.evg!}
<#if pathological.tunel?? && pathological.tunel > -1 >
<#else >
TUNEL
染色：
切片数量
<#if pathological.tunel?? && pathological.tunel > -1 >
${pathological.tunel!}
<#if pathological.wga?? && pathological.wga > -1 >
<#else >
WGA
染色：
切片数量
<#if pathological.wga?? && pathological.wga > -1 >
${pathological.wga!}
<#if pathological.qtqp?? && pathological.qtqp > -1 >
<#else >
其他：
切片数量
<#if pathological.qtqp?? && pathological.qtqp > -1 >
${pathological.qtqp!}
<#if (pathological.myzhqp?? && pathological.myzhqp > -1) || pathological.myzhzb?? >
<#else >
免疫组化染色：
切片数量
<#if pathological.myzhqp?? && pathological.myzhqp > -1 >
${pathological.myzhqp!}
具体指标
<#if pathological.myzhzb?? >
${pathological.myzhzb!}
<#if (pathological.myygqp?? && pathological.myygqp > -1) || pathological.myygzb?? >
<#else >
免疫荧光染色：
切片数量
<#if pathological.myygqp?? && pathological.myygqp > -1 >
${pathological.myygqp!}
具体指标
<#if pathological.myygzb?? >
${pathological.myygzb!}
4
<#if (pathological.qpsmqp?? && pathological.qpsmqp > -1) || pathological.qpsmrs?? >
<#else >
切片扫描：
切片数量
<#if pathological.qpsmqp?? && pathological.qpsmqp > -1 >
${pathological.qpsmqp!}
染色类型
<#if pathological.qpsmrs?? >
${pathological.qpsmrs!}
<#if (pathological.ypqp?? && pathological.ypqp > -1) || pathological.yprs?? >
<#else >
阅片
：
（与阅
片人及时沟通说
明）
切片数量
<#if pathological.ypqp?? && pathological.ypqp > -1 >
${pathological.ypqp!}
染色类型
<#if pathological.yprs?? >
${pathological.yprs!}
阅片说明
<#if pathological.ypsm?? >
${pathological.ypsm!}
检测种属
（抗体）
<#if pathological.jczs?? && pathological.jczs?contains('猴') >
<#else >
猴
<#if pathological.jczs?? && pathological.jczs?contains('大鼠') >
<#else >
大鼠
<#if pathological.jczs?? && pathological.jczs?contains('小鼠') >
<#else >
小鼠
<#if pathological.jczsQt?? >
<#else >
其他
<#if pathological.jczsQt?? >
${pathological.jczsQt!}
检测项目
（抗体）
<#if pathological.jcff?? && pathological.jcff?contains('IF') >
<#else >
IF
<#if pathological.jcff?? && pathological.jcff?contains('IHC') >
<#else >
IHC
<#if pathological.jcffQt?? >
<#else >
其他
<#if pathological.jcffQt?? >
${pathological.jcffQt!}
申请人部
门负责人
签字
加急或重复实验请写明“加急
”或“重复
”或“大批量
”或“常规
”（勾选项）
<#if pathological.specialRequirements?? && pathological.specialRequirements?contains('加急') >
<#else >
加急
<#if pathological.specialRequirements?? && pathological.specialRequirements?contains('重复') >
<#else >
重复
<#if pathological.specialRequirements?? && pathological.specialRequirements?contains('大批量') >
<#else >
大批量
<#if pathological.specialRequirements?? && pathological.specialRequirements?contains('常规') >
<#else >
常规
课题负责人（申请人部门负责人签字）：
<#if departLeaderSign??>
<#else >
病理（项目管理部签字
）：
<#if projectManagementSign??>
计划进展
备注
推迟
暂停
取消
情况说明：
<#if departLeaderAudit?? >
${departLeaderAudit.remarks!}
<#if projectManagementAudit?? && projectManagementAudit.remarks??>
${projectManagementAudit.remarks!}
课题组（申请人部门负责人签字
）：
<#if departLeaderSign??>
<#else >
病理（
项目管理部签字
）：
<#if projectManagementSign??>
实验前抗
体/蜡块/
白片交接
核对无误
有缺失
缺失情况及处理办法：
<#if departLeaderAudit?? >
${departLeaderAudit.processMethod!}
<#if projectManagementAudit?? && projectManagementAudit.processMethod??>
${projectManagementAudit.processMethod!}
课题组（申请人部门负责人签字
）：
<#if departLeaderSign??>
<#else >
病理（
项目管理部签字
）：
<#if projectManagementSign??>
实验
进程
修块脱水
：
（
姓名、
日期）
石蜡包埋
：
（
姓名、
日期）
切片
：
（
姓名、
日期）
HE
染色
：
（
姓名、
日期）
特殊染色
：
（
姓名、
日期）
免疫染色
：
（
姓名、
日期）
切片扫描
：
（
姓名、
日期）
阅片
：
（
姓名、
日期）
切片质检
如因切片制作存在质量问题，请拍下问题切片典型图片并填写返工切片信息和问题描述；没有请填写“无
”，并签字
质检人
：
（
姓名、
日期）
700405
12065
实验后切
片/蜡块
交接
切片
核对无误
有缺失
缺失情况及处理办法：
病理
（姓名、
日期）
课题组
（姓名、
日期）
蜡块
核对无误
有缺失
缺失情况及处理办法：
病理
（姓名、
日期）
课题组
（姓名、
日期）
结果确认
和反馈
核对无误
有缺失
核对无误
有缺失
课题组（申请人部门负责人签字）
年
月
日
<#if pathological.preExperiment >
病理预实验确认表
课题名称
${pathological.preSubjectName!}
申请人
${pathological.preApplicantName!}
实验内容
${pathological.preContent!}
预实验条件说明
<#list pathological.experiments as item>
${item.title!}
<#if item.detectMethod?? && item.detectMethod?contains('IF') >
<#else >
IF
<#if item.detectMethod?? && item.detectMethod?contains('IHC') >
<#else >
IHC
切片类型
<#if item.qplx?? && item.qplx?contains('石蜡切片') >
<#else >
石蜡切片
<#if item.qplx?? && item.qplx?contains('冰冻切片') >
<#else >
冰冻切片
封闭
<#if item.fblx?? && item.fblx?contains('未封') >
<#else >
未封闭
<#if item.fblx?? && item.fblx?contains('封闭') >
<#else >
封闭
修复条件
<#if item.xftj?? && item.xftj?contains('未修复') >
<#else >
未修复
<#if item.xftj?? && item.xftj?contains('酶修复') >
<#else >
酶修复
<#if item.xftj?? && item.xftj?contains('柠檬酸盐') >
<#else >
柠檬酸盐修复液（
PH
6.0
）
<#if item.xftj?? && item.xftj?contains('水浴90') >
<#else >
水浴
90℃
<#if item.xftj?? && item.xftj?contains('温压') >
<#else >
高温高压
<#if item.xftj?? && item.xftj?contains('EDTA') >
<#else >
EDTA
(PH9.0
）
<#if item.xftj?? && item.xftj?contains('水浴86') >
<#else >
水浴
86℃
<#if item.xftj?? && item.xftj?contains('高温') >
<#else >
高温
抗体信息
${item.ktxx!}
组织编号
（组织器
官）
${item.zzbh!}
实验结果
${item.syjg!''}
结论
${pathological.preConclusion!}
申请人部
门负责人
签字
<#if preApplicantLeaderSign??>
实验日期/人员
${pathological.preDate!}
${pathological.prePeopleName!}
<#list images as img>
<#if createBySign??>
<#if departLeaderSign??>
<#if projectManagementSign??>
<#if subjectLeaderSign??>
<#if preApplicantLeaderSign??>
-29845
23495
病理学研究平台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病理实验计划表
${docCreator}
${docLastModifiedBy}
2
${docCreatedTime}
${docLastModifiedTime}
Normal.dotm
0
3
309
1762
Microsoft Office Word
0
14
4
false
false
2067
false
false
16.0000
wqlLaW5nc29mdCBQREYgdG8gV1BTIDEwMA
2025-02-10T09:59:54Z
eyJoZGlkIjoiNDZhNmMyMWI3ZGViNTcxNzkxZDYxOWJmYzE4MTQ1Y2UiLCJ1c2VySWQiOiI3NzcyNjU0NDkifQ==
2052-12.1.0.20305
075ED8985872FCB0F25DE26758733600_43
<#list images as img>
${img.base64}
<#if createBySign??>
${createBySign}
<#if departLeaderSign??>
${departLeaderSign}
<#if projectManagementSign??>
${projectManagementSign}
<#if subjectLeaderSign??>
${subjectLeaderSign}
<#if preApplicantLeaderSign??>
${preApplicantLeaderSign}