The disclosure generally relates to the field of inspection systems, and particularly to semiconductor wafer inspection systems.
Thin polished plates such as silicon wafers and the like are a very important part of modern technology. A wafer, for instance, may refer to a thin slice of semiconductor material used in the fabrication of integrated circuits and other devices.
Wafers are subject to defect inspections, and as transistor densities increase, requirements for imaging performances of wafer inspection systems may increase as well. Factors that may affect (or compromise) the imaging performance of an inspection system may therefore need to be addressed in order to satisfy the increased performance requirement.
The present disclosure is directed to an inspection system. The inspection system may include an optical component configured to deliver inspection light to a subject and a detector configured to obtain an image of the subject at least partially based on the inspection light delivered to the subject. The inspection system may also include a processor in communication with the optical component and the detector. The processor may be configured to: measure an aberration of the optical component based on the image of the subject obtained by the detector; and adjust the optical component to compensate for a change in the aberration.
A further embodiment of the present disclosure is an inspection system. The inspection system may include an optical component configured to deliver inspection light to a wafer and a detector configured to obtain an image of the wafer at least partially based on the inspection light delivered to the wafer. The inspection system may also include a processor in communication with the optical component and the detector. The processor may be configured to: measure an aberration of the optical component; and adjust the optical component to compensate for a change in the aberration.
An additional embodiment of the present disclosure is directed to a method for adjusting imaging performance of an inspection system. The method may include: delivering inspection light to a subject through an optical component; obtaining an image of the subject at least partially based on the inspection light delivered to the subject; measuring an aberration of the optical component based on the image of the subject; and adjusting the optical component to compensate for a change in the aberration.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not necessarily restrictive of the present disclosure. The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate subject matter of the disclosure. Together, the descriptions and the drawings serve to explain the principles of the disclosure.
The numerous advantages of the disclosure may be better understood by those skilled in the art by reference to the accompanying figures in which:
Reference will now be made in detail to the subject matter disclosed, which is illustrated in the accompanying drawings.
Embodiments in accordance with the present disclosure are directed to inspection systems and methods for adjusting/optimizing imaging performances of the inspection systems.
As shown in
Referring now to
The inspection system 100 configured in accordance with embodiments of the present disclosure may therefore include one or more processors 110 configured to carry out a method that is designed to address degradations in order to adjust/optimize the imaging performance of the inspection system 100. The processor(s) 110 may be implemented as dedicated processing units, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or various other types of processors or processing units. In some embodiments, the processor(s) 110 may be implemented as stand-alone components. Alternatively, the processor(s) 110 may be implemented as embedded computing components of the inspection system 100.
With the aberrations of the optical component(s) 102 measured, a compensation step 308 may be carried out to compensate for any changes in the aberrations. In some embodiments, one or more aberration manipulators known to be parameters affecting the aberrations of the optical component(s) 102 may be selectively adjusted to change the aberrations of the optical component(s) 102 in order to compensate for the changes, which in turn may help reduce the focus shift and improve the imaging performance of the inspection system 100. The aberration manipulators may include, for example, lens decenter manipulators configured to adjust coma, linear astigmatism, and/or lateral color. The aberration may also be manipulated by adjusting stage displacement, which may in turn adjust the focus, or by adjusting the thickness of a glass plate to compensate for axial color.
It is contemplated that the method 300 may be carried out periodically by the processor(s) 110 to adjust the imaging performance of the inspection system 100 in order to keep the imaging performance of the inspection system 100 within an established error tolerance range.
It is also contemplated that while focus shift occurring due to lens heating is presented as a factor that may affect the imaging performance of the inspection system 100, lens heating is only one example of such factors. It is contemplated that the imaging performance of the inspection system 100 may change due to lens heating, pressure changes, temperature changes, as well as changes in other factors.
As shown in
It is contemplated that the method 300 described above may be utilized to effectively compensate for imaging performance degradations caused by pressure fluctuations. More specifically, aberrations (focus differences between different wavelengths in this example) may be measured in the measurement step 306 and the compensation step 308 may be carried out to compensate for the measured aberrations. If the measurement step 306 determines that the focus of a particular wavelength λ is shifted by a certain amount, for example, the compensation step 308 may apply a manipulator (e.g., a glass plate or an environment index of refraction change) that alters the wavelength dependent optical path length to compensate for the shift.
It is also contemplated that the method 300 described above may be utilized to effectively compensate for imaging performance degradations caused by other factors in addition to lens heating and pressure fluctuations. It is to be understood that factors such as lens heating and pressure fluctuations are presented merely for illustrative purposes and are not meant to be limiting. It is contemplated that imaging performance degradations caused by other factors may be addressed in manners similar to that described above without departing from the spirit and the scope of the present disclosure.
It is further contemplated that the imaging performance degradations of the inspection system 100 may be modeled based on prior knowledge and/or historical data collected from past inspections. If a sufficiently accurate model can be generated to predict the degradations as a function of time, temperature, and pressure for a given optical mode, the manipulators may be adjusted accordingly to compensate for the predicted degradations without having to take measurements during the inspection, which may save time and reduce the cost of ownership of the inspection system 100.
On the other hand, if a model generated based on prior knowledge and/or historical data collected from past inspections is not deemed to be sufficiently accurate (e.g., suppose the curve 400 cannot be used to make sufficiently accurate predictions due to various reasons), measurements may still be needed during the inspection, and the curve 400 may be used as a merit function (e.g., where the merit function may be defined based on parameters including time, power, pressure, and/or temperature) to help determine when to trigger the one or more steps of the method 300. For example, suppose it is known from modeling that lens aberrations change significantly over a Y-minute period due to lens heating. Using this information along with performance requirements, the method 300 may be triggered when the amount of time elapsed since the last measurement is approaching the Y-minute mark (e.g., a threshold time or a threshold tau). It is contemplated that the method 300 may be triggered periodically to keep the imaging performance of the inspection system 100 within an established error tolerance range. It is also contemplated that the method 300 may be triggered continuously, intermittently, in response to a predetermined event, in response to a predetermined schedule, in response to a user request or command, or combinations thereof, without departing from the spirit and scope of the present disclosure.
As will be appreciated from the above, inspection systems and methods configured in accordance with the present disclosure can effectively address the various factors that may affect (or compromise) the performances of the inspection system. Aberrations can be measured and adjusted at the beginning of every inspection to optimize the imaging performance of the inspection system. Aberrations can also be measured and adjusted during the inspection to keep the error within a tolerance range, providing a feature that may be appreciated in various operating conditions.
It is to be understood that while the examples above referred to a wafer as the subject of inspection, the inspection systems configured in accordance with the present disclosure are not limited to inspecting wafers. The inspection systems configured in accordance with the present disclosure are applicable to other types of subjects as well without departing from the spirit and scope of the present disclosure. The term wafer used in the present disclosure may include a thin slice of semiconductor material used in the fabrication of integrated circuits and other devices, as well as other thin polished plates such as magnetic disc substrates, gauge blocks and the like.
It is believed that the system and the apparatus of the present disclosure and many of its attendant advantages will be understood by the foregoing description, and it will be apparent that various changes may be made in the form, construction and arrangement of the components without departing from the disclosed subject matter or without sacrificing all of its material advantages. The form described is merely explanatory.
The present application claims the benefit under 35 U.S.C. § 119(e) of U.S. Provisional Application Ser. No. 62/211,288, filed Aug. 28, 2015. Said U.S. Provisional Application Ser. No. 62/211,288 is hereby incorporated by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
6563564 | de Mol | May 2003 | B2 |
7019910 | Hoppen | Mar 2006 | B2 |
7262831 | Akhssay | Aug 2007 | B2 |
8027813 | Slonaker | Sep 2011 | B2 |
8570485 | Ye et al. | Oct 2013 | B2 |
8625078 | Zhou et al. | Jan 2014 | B2 |
20020186463 | Hoppen | Dec 2002 | A1 |
20040184030 | Liebchen | Sep 2004 | A1 |
20060114437 | Akhssay | Jun 2006 | A1 |
20060203231 | Uto et al. | Sep 2006 | A1 |
20090002835 | Prior | Jan 2009 | A1 |
20090009741 | Okita et al. | Jan 2009 | A1 |
20090015836 | Maeda | Jan 2009 | A1 |
20110075151 | Jeong | Mar 2011 | A1 |
20110141463 | Chikamatsu et al. | Jun 2011 | A1 |
20110286001 | Taniguchi | Nov 2011 | A1 |
20110315897 | Romanovsky et al. | Dec 2011 | A1 |
20130044318 | Cho | Feb 2013 | A1 |
20140268122 | Matsumoto | Sep 2014 | A1 |
20150331326 | Zhao | Nov 2015 | A1 |
Number | Date | Country |
---|---|---|
1420301 | May 2004 | EP |
Entry |
---|
International Search Report dated Nov. 18, 2016 for PCT/US2016/047610. |
Number | Date | Country | |
---|---|---|---|
20170061597 A1 | Mar 2017 | US |
Number | Date | Country | |
---|---|---|---|
62211288 | Aug 2015 | US |