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OLYMPUS Stream Software 1.9The all-in-one measurement solution for quality assurance
The optical microscope is used as a key part of the quality assurance (QA) process
in many different industries to ensure that components are manufactured according
to exact specifications, before being assembled into the end product. Implementing
quantitative measurements, such as coating thickness evaluation and the validation
of geometrical product specifications (GPS), ensure accuracy is achieved within the
correct tolerance range for each product. As such, these form the core of QA in sectors
as diverse as medical engineering, electronics, and the automotive industry.
Therefore, the materials science micro-imaging software must be both comprehensive
and flexible in order to allow the system to perform this diverse range of tasks, while
adhering to international standards for quality control. The Olympus Stream 1.9
software is the most comprehensive solution for managing every task, from image
acquisition to data management (Figure 1). The concept of modularity is a cornerstone
of this modern software and enables a high level of flexibility for managing a range of
different tasks, as well as the ability to future-proof. Add-on packages for more specific
tasks, such as automatic measurement, means the Stream software can be tailored to
individual requirements and future applications.
For microscopy applications within QA, each task must be managed by the micro-
imaging software at every stage of the process. This white paper will outline how
OLYMPUS Stream 1.9 has adopted the latest digital technologies to achieve advanced
performance, along with intuitive operation for every task, and how these enhance the
following steps of the workflow:
1. Image acquisition and refinement
2. Measurement
3. Data management
4. Report creation
Application note
Stream software at a glance
· An advanced tool for microscopy-
based quality assurance tasks
· A comprehensive solution for the
complete micro-imaging workflow
· Modular design affords flexibility and
future-proofing
· Achieves a high level of automation
for the industrial microscope
· Diverse measurement functions
adhering to latest quality standards
Solutions
· Advanced image acquisition and
refinement techniques
· More than 50 measurement
functions
· Pre-defined specialized
measurement solutions
· Efficient data management
· Report creation with Microsoft Word
compatibility
Key words
· Micro-imaging software
· Quality assurance
· Geometrical product specifications
· Coating thickness evaluation
· Automatic measurement
1. Image acquisition and refinement
When employing optical microscopy for evaluating the quality of a component, the workflow
begins with image acquisition. Since image quality dramatically impacts inspection and
measurement further down the line, accurate image acquisition is crucial. With the latest
micro-imaging software, the quality of image acquisition is improved to capture the
finest details of a sample. In the past, generating high-contrast and fully-focused images
presented a significant challenge. A sample is rarely flat, homogenous, and small enough
to fit into the field of view. Digital image-processing tools are now available that essentially
work by forming a composite image from multiple capture areas - expanding the field of
view, extending the depth of focus, and improving contrast.
· Expanding the depth of focus: Micromechanical parts are 3D in nature,
making it impossible to generate a fully focused image using optical microscopy
alone. Utilizing fine focus adjustment and digital technologies, the Extended
Focus Image (EFI) merges multiple images at different z-levels, forming a
single, fully-focused composite image from the most uneven surfaces (Figure
2). In doing so, EFI facilitates the inspection of many different 3D samples,
from dental equipment to the miniature components of a watch mechanism.
· Expanding the field of view: The traditional microscope has a limited field
of view, and generating a complete high-resolution image for analysis and
documentation can be challenging for larger samples. Overcoming this limitation,
the Multiple Image Alignment (MIA) function is an image-stitching tool, which
generates a single panoramic view from multiple images (Figure 3) at any
magnification. Effectively expanding the field of view in this way allows the in-depth
microscopic inspection of larger samples, complete components, for example.
· Improving dynamic range: Samples often contain a mixture of both bright, highly
reflective features, as well as darker and low-reflective features. Therefore, a single
exposure time is not sufficient to capture the details of both features on a single
image due to limited camera contrast, compromising measurement accuracy.
To make all image areas visible at the same time, the High Dynamic Range (HDR)
capability automatically acquires a series of images at varying exposure times and
merges them to form a single composite image. Generating a single high dynamic
range microscopic image with the HDR function therefore enables the accurate
measurement of all features (Figure 4).
Even for the most experienced operators, acquiring the perfect image using a traditional
optical microscope system is often time-consuming. It can be even more challenging for
those less experienced operators, and a particularly powerful feature of the latest Stream
software overcomes this with the facility to incorporate a high level of automation. Reducing
operator involvement in this way is beneficial in terms of time saved, as well as repeatability,
producing consistent (and therefore comparable) results. For example, it can be laborious to
set the optimum focus for each sample image, and the Stream software autofocus function
speeds up this process by automatically generating fully-focused images. Furthermore, the
additional integration of a motorized stage also enables advanced functions, including MIA,
EFI, and HDR to be fully automated.
Application note
Figure 1: Getting connected. OLYMPUS Stream 1.9 software integrates the complete workflow, from image acquisition in the light microscopy (LM) and electron microscopy (EM) laboratories, to image processing, production, and quality assessment (QA).
Figure 2: Extending the depth of field. Extended Focus Image (EFI) creates fully focused images.
Figure 3: Expanding the field of view. High-resolution panoramic images are created with the Multiple Image Alignment (MIA) function, ideal for larger samples.
EM laboratory Management
LM laboratory Job processing
Intake Control
Production
QC
QA
CRM
LIMS
Server
Stream
Application note
2. Measurement
The level of quantitative information that can be gathered from a sample is reliant upon
the measurement capabilities of the micro-imaging software, and precision along with
adherence to quality control standards are of the utmost importance.
Traditional measurement approaches based on eyepiece reticles are time-consuming,
straining on the eyes and can also incur a level of inaccuracy. The advent of software-
based measurement overcomes these limitations, vastly improving precision even at high
magnification, while also allowing for a greater range of parameters to be measured. Since
many different sample materials, shapes, and sizes must be measured, with different
features of more interest for certain tasks, the diversity of interactive measurement functions
is important. The Stream software includes distances, angles, rectangles, circles, ellipses,
and polygons for precisely this purpose. However, it is also true that different companies
will also implement more specific applications, demanding highly specialized measurement
capabilities. This is where a modular approach to software design is beneficial, allowing the
user to build their own software system. For example, module options, or “Solutions,” can
be added to the basic Stream 1.9 software, allowing for coating thickness and automated
measurement capabilities.
2.1 Measuring coating thickness
Evaluation of coating thickness is a standard task throughout many industries, in physical
and chemical vapor deposition of thin films used in semiconductor production, for
example. Between a thickness of 1µm and 50 µm, this is often achieved for a variety
of different samples using top view imaging with the popular Calotest (or ball crater)
method. Following the application of a grinding sphere to a coating, optical inspection
of the depression is performed with the OLYMPUS Stream Calotest solution. Once the
boundaries of the individual coatings have been determined, this grinding pattern geometry
is used alongside the diameter of the grinding ball and sample geometry to calculate the
coating thickness (Figure 5a). An alternative approach for evaluating thicker coatings, such
as paints or composite plastics, is to visualize one or more layers of a cross-sectioned
sample, using the Stream Layer Thickness software, where the shapes are defined and the
layers automatically measured (Figure 5b).
2.2 Automatic Measurement
Automatic measurements reduce the associated manpower and cost, while dramatically
enhancing repeatability between different users. Removing any deviations arising
from different operators ensures consistency in the data generated, and therefore, the
precision of recorded dimensions. The latest Stream software incorporates edge-detection
capabilities, meaning that a range of measurements can now be performed without input
from the operator. Furthermore, multiple measurements can be taken from a single image.
A validation tool generates a pass/fail flag for every measurement, making these tools
particularly beneficial for more complex components such as the silicon wafer (Figure 6).
Once data has been generated from the desired set of measurement functions, statistical
analysis carried out may include a variety of different tests. Standard analysis, including
mean, standard deviation, minimum and maximum values can be performed within the
Stream software. Alternatively, to allow for integration into the existing workflow, the data
can be exported into third party programs for further interrogation.
Figure 4: Enlarged dynamic range. High Dynamic Range (HDR) generates images with all image details visible simultaneously – the bright as well as the dark.
Figure 5: Evaluating coating thickness. Coating thickness can be evaluated by: A) Using the Calotest method; and B) Imaging a cross-section sample.
Figure 6: Precision engineering with automatic measurement. wafer pattern is automatically detected and measured using pattern recognition and a matching pattern (red) for correct identification.
A B
Application note
3. Data Management
Quick access to data generated from the manufacturing process is incredibly important,
even once the end product is fully formed. Data generated from microscopy-based
QA procedures may need to be retrieved at any phase of the process, or even months
after production, in the unfortunate event of product failure, for example. In such cases,
traceability back to source components can identify the origin of a fault, and archived QA
data determines liability. Of benefit in all industries, this traceability is particularly important
within the automotive and medical device sectors, in which safety is of paramount
importance.
The ability to accurately trace a component not only reduces the time between detection
and correction of any faults, but also limits product recall only to those items containing
the faulty component, thereby resulting in significant cost savings. Stream 1.9 software
facilitates this process through ensuring efficient data management for microscopy-based
QA tasks.
Since a single microscope system may contain archives of thousands of samples,
retrieving the relevant data can be particularly challenging. Stream 1.9 software solves
this problem by allowing the operator to identify an archived document from a range of
user-definable classifications and keyword associations. For example, in the event of a
customer complaint, the relevant sample documents can be retrieved based on the date
or keywords relating to aspects such as the production process or materials used. All
image-related parameters and measurement results are logged alongside the document,
providing insight into the sample characteristics long after manufacture. In addition to pre-
set fields, a free-text field allows additional data to be entered for quick retrieval.
4. Report Creation
Results need to be communicated in a clear and accurate manner, while adhering to the
company’s in-house style and format. As one of the four key stages of the materials science
workflow, Stream 1.9 software includes many features to streamline this task. The software
allows highly customizable reporting capabilities, with full Microsoft Office integration
allowing the creation of professional reports via Word and presentations via PowerPoint.
Supporting the latest Windows 8 operating system and file compression methods also
ensures that report files can be easily managed and shared via e-mail.
A solution for every task
As the “brains” behind the industrial optical microscope, today’s micro-imaging software
harnesses the latest developments in digital technology to overcome the many challenges
faced by QA departments. As one such program, Olympus Stream 1.9 integrates an
incredibly diverse array of tasks covering every stage of the workflow, within a single
comprehensive software solution. Innovative capabilities and a dynamic user interface
allow detailed inspection and measurement tasks to be performed quickly and easily, with
minimal knowledge of microscopy.
Including turnkey materials measurement solutions, the Olympus Stream 1.9 software can
also be optimized for a range of specific microscopy-based measurement applications
such as coating thickness evaluation and automatic measurement – both important
aspects of QA. This comprehensive and flexible platform allows the user to build the
software around their requirements, streamlining the materials science workflow and
transforming the Olympus optical microscope into a single dedicated solution for materials
science applications.
For more information on the latest Olympus Stream 1.9 software, please visit
www.olympus-europa.com
Application note
Please contact
Ralf Schäfer
(Marketing Communications Manager
Microscopy)
Olympus Europa Holding GmbH
Hamburg, GER
T: +49 (0) 40 23773 5913
F: +49 (0) 40 23773 505 913
Web: www.microscopy.olympus.eu
Victoria Coupe (Text)
(Account Manager)
Alto Marketing
Southampton, UK
T: +44 (0) 1489 557 672
F: +44 (0) 1489 559 246
Web: www.alto-marketing.com