|
|
|
|
|
|
|
|
|
|
|
 |
|
|
 |
|
|
我們提供您效能最好的玻片掃描器.... |
|
|
|
|
|
|
|
|
 |
|
|
來自 ASI ScanView / PathEx
....... |
|
|
Our
solution for Digital Pathology |
|
|
|
數位病理的影像分析先驅-
Tissue StudioTM
德國
Definiens公司是
Gerd Binnig
博士于1994年創辦於德國慕尼克，Dr.
Gerd Binnig
本身是1986年的諾貝爾物理獎得主。Dr.
Gerd Binnig
將他過去在影像分析的豐富經驗，透過專利的
Cognition
Network Technology，將之大量的應用在影像分析上。此突破性的新技術，早期多運用衛星圖像判讀與分析，一直到近年開始才大量運用此一技術於細胞生物學與組織學的樣本上。Definiens
的
Tissue
Studio
是專為病理數位影像所設計的先進分析軟體，綜合了 Definiens
公司十數年來在影像分析的豐富經驗與軟體設計，期待能帶給使用者更便利的操作，更多元的分析，與更詳實的實驗結果。
數位影像的影像分析已經行之有年，無論是怎樣的分析軟體，無不著重在圖元(pixel)上的色彩拆解。但很多時候，使用者感興趣的標地物在顏色上經常無法與背景區分開。這樣的情況在組織切片上更為常見，即便有了免疫染色的標定，但組織本身的細胞種類複雜與型態上的多樣性都造成了精確判讀的困難度。也因此，Definiens
的
Tissue Studio
突破了以往僅僅在圖元上的分析，添加了Cognition
(認知)的元素，把影像進行色彩拆解以外，更增加了型態上與相鄰物件的對應關係，經由此有層次的對應關係，加上使用者對於物件的判斷，能將影像分析帶往更準確的一個層次。也因此，當色彩無法成為唯一的判讀依據時，
Tissue Studio
提供了使用者一個獨家的分析元素，得以進行更精確的影像分析，提供更多的分析參數給使用者。Tissue
Studio
也是唯一可以在H&E染色的組織切片樣本上，就可以提供單一細胞的細胞質，細胞核，與細胞膜的分析參數。
Tissue Studio
支援市面上多數的數位病理掃描機影像格式，分析結果的輸出格式為通用的comma-separated
values
(CSV)格式，相容於各類型的試算表軟體，如 Microsoft
Excel。除了文字與數位的資料輸出，Tissue
Studio同時提供分析影像的輸出。彈性多樣的資料輸出，可以滿足使用者求知的欲望求知的欲望。。
|
|
|
Definiens Tissue StudioTM
is
the most advanced digital pathology image analysis
solution for biomarker translational research
|
| |
|
|
 |
|
Definiens Tissue Studio? supports the
simultaneous utilization of up to four images which
best represent variability in a given image set for
creation of a robust image analysis solution.
|
| |
|
|
 |
|
Definiens Composer TechnologyTM
in action: In order to classify the object as a tumor,
the user simply 𢖯aints?just a few representative ROIs
with the paintbrush tool (green). This process is then
repeated across the other images, and for other ROIs
(tissue, lymph node, etc.).
|
| |
|
|
| |
|
|
 |
|
Close-up view of pancreas tissue after training the
system how to recognize ROIs using Definiens Composer
TechnologyTM. Islets
(both tumor and normal) are depicted in green, tissue
in blue, lymph nodes in dark blue and white space in
white.
|
| |
|
|
 |
|
In this example, a second Definiens
Composer Technology? step was used to further classify
islets into tumor (red) and normal (orange). ROIs
(gray boxes) are then selected within the tumor
regions for subsequent cell-by-cell biomarker
multiparametric quantification. |
| |
|
|
 |
|
Example of nucleus detection in
pancreas tumor.
|
| |
|
|
|
簡易使用, 吻合病理人員的需求 ( 僅需三個步驟 ) |
|
1. Train the application to identify
regions of interest |
|
The application can be trained to
identify regions of interest automatically. Simply
import sample slides and highlight the regions of
interest with the 䕑aintbrush tool, comparing up to
four slides at once. Then, simply click the 娽earn
button. The application uses your images to create a
robust algorithm for identifying the precise regions
of interest (ROI) which you seek. You can manually
review the regions of interest or they can form the
basis of a fully automated batch processing routine
|
|
|
|
|
|
2. Create unique segmentation
and classification for sub-cellular biomarker
detection
|
|
Using the
intuitive interface and pre-defined tools, you can
create multi-parametric segmentation and
classification with ease.
Definiens
Tissue Studio
conducts
segmentation and classification on a cell-by-cell
basis, giving you unparalleled confidence and
understanding of biomarkers that are related to
disease progression, toxicity, or therapeutic
response.
Use the new,
simplified graphic user interface to train the
application how to recognize the nuclear, cytoplasmic,
and membrane attributes of cells. Even with
challenging images, the cell simulation function will
identify nuclear objects and then孄row𤴆he cell out to
establish its proper border.
Choose from a
complete set of default multi-parametric and
morphological features you want to measure ? number of
positive nuclei, number of negative nuclei, mean cell
size, marker area, staining intensity, and many more.
Custom parameters are also available for export.
The solutions you develop with
Definiens Tissue Studio ?
will enable
you to data mine your tissue images and uncover
underlying correlations related to clinical endpoints
of interest.
|
|
|
|
|
|
3. Run the dataset
|
|
Definiens
Tissue Studio
works
with all standard image formats
Hamamatsu, Leica, Zeiss, Aperio, Applied Imaging,
TissueGnostics, Bacus as well as generic
formats like .tiff and
.jpeg. All you need to do
is import the slides and click " run "
It is that
easy.
Definiens Tissue Studio
can batch
process locally or send larger jobs to servers. There
is no limit to the number of CPUs that can be added,
ensuring that you can handle any project of any size.
|
|
|
|
|
Definiens
Tissue Studio
-
Accurately measures nuclear, membrane and
cytoplasmic biomarkers
-
Provides multiparametric cell-by-cell
quantitation Enables simple, robust detection of
regions of interest
-
Supports all standard IHC tissue stains (blue,
brown and red), H&E and IF
-
Supports all tissue formats including slides and
TMAs
-
Scales to any size for batch processing
-
Works out-of-the-box
-
Uses a simple interface that requires no
programming skills
|
|
|
|
|
Definiens
Tissue Studio
delivers 帶給您的效益
....
DEEPER INSIGHTS
by Quantifing
nuclear, membrane and cytoplasmic biomarkers on a
cell-by-cell basis Supporting all standard IHC
tissue stains (blue, brown and red), H&E and IF
Analyzing all slides and TMA images from all major
image acquisition devices
FASTER RESULTS
by Identifing regions of interest automatically
Operating through a simple, intuitive user
interface Offering unlimited throughput with
parallel batch processing
BETTER DECISIONS
by Delivering
extremely accurate and reproducible results
Enabling multiparametric investigations to
identify underlying correlations Supporting
translational research through rapid iterative
investigation of biomarkers
|
|
|
|
|
|
|
|
|
Tissue Studio
針對單一細胞在型態特徵上可以輸出的參數如下: |
|
IHC
· No. of positive nuclei
· No. of negative nuclei
§ Positive index
§ Cell and membrane features:
· Mean cell size (μm²)
· Mean IHC marker intensity
(cell)
· Mean IHC marker intensity
(cytoplasm)
· Mean IHC marker intensity
(membrane)
· Mean ratio IHC marker
intensity membrane to cytoplasm
· Marker area (μm²)
· No. and % of:
· Nuclei of low intensity
· Nuclei of medium intensity
· Nuclei of high intensity
· No. and % of:
· Nuclei with small area
· Nuclei with medium area
· Nuclei with large area
· No. and % of:
· Cells of negative intensity
(0)
· Cells of low intensity (1+)
· Cells of medium intensity
(2+)
· Cells of high intensity (3+)
· No. and % of:
· Cells with small area
· Cells with medium area
· Cells with large area
· H & E and IF
· ROI
area/marker area
· Custom data export is also
supported
|
 |
 |
| |
| Tissue
Studio 深刻的知道, 在醫院的病理醫師, 或是在實驗室的科研人員, 在藥廠的研發人員,
他們所需要的數位病理影像處理結果是甚麼 ? 知道他們需要甚麼 ? 更知道影像處理是要協助他們更精確的結果,
並能提高效益., 所以, 無須任何軟體訓練的人, 都可輕易上手, 是設計的概念之一. |
| |
|
圖一:
簡易的操作介面 |
 |
| |
|
圖2:
直覺化的邏輯設計 |
 |
| |
|
圖3-1:
Tissue Studio的資料分析
(免疫染色標定細胞模的腫瘤細胞) |
 |
|
|
 |
| |
|
圖3-3:
細胞核與細胞質的辨識 |
 |
| |
|
圖3-4:針對細胞質內的IHC染色強度得以將細胞分類 |
 |
|
圖4:
支援Tissue
Microarray的樣本分析 |
 |
|
數位病理化時代的來臨，將開啟組織切片的影像分析新時代。更多的相關訊息，請洽詢本公司各業務代表。 |
| |
|
|
| |
| |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
相關資料 ( Information ) |
|
|
|
|
|
|
|
|
