1. Field of the Invention
The present invention relates to methods and apparatus for inspection and review of semiconductor wafers and other manufactured substrates.
2. Description of the Background Art
An automated defect review system generally receives a defect location that is determined previously by an automated inspection system. The inspection system may determine the defect location using bright or dark field optical imaging or by electron beam imaging.
The defect review system may then use a scanning electron microscope (SEM) having a pre-set electron beam configuration, usually in a secondary electron mode, to obtain an image at the defect location. However, there are almost always some defects that are detected by the inspection system but do not show up (i.e. are not visible to) the review system. These defects are conventionally classified as SEM non-visible (SNV) defects.
One embodiment relates to a method of reviewing defects in an automated manner using a scanning electron microscope (SEM). A defect location having a defect for review is selected, and the SEM is configured to be in a first imaging configuration. The selected defect location is imaged using the SEM to generate a first SEM image of the selected defect location. A determination is made as to whether the defect is visible or non-visible in the first SEM image. If the defect is non-visible in the first SEM image, then the SEM is configured to be into a second imaging configuration, the selected defect location is imaged using the SEM to generate a second SEM image of the selected defect location, and a further determination is made as to whether the defect is visible or non-visible in the second SEM image.
Another embodiment relates to an apparatus for reviewing defects in an automated manner using a SEM. The apparatus includes an electron beam column configured to generate an incident electron beam and scan the incident beam over a surface of a target substrate, a detector configured to detect secondary electrons, and a system controller and data processing system. The system controller and data processing system is configured to perform steps of: selecting a defect location having a defect for review; configuring the SEM to be in a first imaging configuration; imaging the selected defect location using the SEM to generate a first SEM image of the selected defect location; and determining whether the defect is visible or non-visible in the first SEM image. The system controller and data processing system is further configured such that, if the defect is non-visible in the first SEM image, then the SEM is configured to be into a second imaging configuration, the selected defect location is imaged using the SEM to generate a second SEM image of the selected defect location, and a further determination is made as to whether the defect is visible or non-visible in the second SEM image.
Other embodiments, aspects and features are also disclosed.
Per step 102, the apparatus may receive defect locations from an automated inspection apparatus. The inspection apparatus may determine the defect locations using bright or dark field optical imaging or by electron beam imaging. Multiple defect locations may be received for review.
Per step 104, the apparatus may select a defect location for review from the multiple defect locations. In addition, the SEM may be configured to have a low landing energy (LE) and low beam current (BC) and to detect secondary electrons (SE) per step 105. This configuration may be referred to as a physical mode. The low landing energy beam may be suitable to obtain image data from a layer at or near the surface of the target substrate so as to image defects at or near the substrate surface. In one embodiment, the low landing energy may be in the range between 0.4 kilo-electron-volts (keV) and 1 keV, and the beam current may be in the range between 50 pico-amperes (pA) and 100 pA.
Per step 106, the selected defect location is then reviewed by imaging an area including the defect location using the SEM in the physical mode configuration. For example, using the apparatus 200 of
Per step 108, a determination may then be made as to whether or not the defect is visible in the image data obtained by the SEM in the physical mode configuration. This may be performed by automated processing of the image data to detect the defect.
If the defect is determined to be visible in the physical mode SEM image (SEM Visible or SV), then the method 100 may move forward to step 110. In step 110, the defect at the selected defect location which is visible in the physical mode SEM image may be classified into a defect classification. Per step 112, the defect classification and the physical mode SEM review image at the selected defect location may then be written (stored) into a record. Thereafter, per step 120, a determination may be made as to whether or not there are more defect locations to review. If there are more defect locations to review, then the method 100 loops back to step 104 and selects a next defect location for review. Otherwise, if there are no more defect locations to review, then the method 100 may end.
On the other hand, if the defect is determined to be non-visible in the SEM image (SEM Non-Visible or SNV), then the method 100 may go from step 108 to step 113. In step 113, SEM may be re-configured to have a high LE and a high BC and to detect backscattered electrons (BSE). This SEM configuration may be referred to as BSE mode. The high landing energy beam may be suitable to obtain image data from a layer below the surface of the target substrate so as to image defects that may be buried beneath the substrate surface. The detection of backscattered electrons may be accomplished by filtering out secondary electrons. This may be implemented by applying a voltage to an energy filter in the path of the scattered electrons which may be passed by the higher-energy backscattered electrons but not the lower-energy secondary electrons. In one embodiment, the high landing energy may be 5 keV or more. The beam current may be high, such as, for example, above one nA.
Per step 114, the selected defect location is then reviewed by imaging an area including the defect location using backscattered electrons detected by the SEM in the BSE mode. For example, using the apparatus 200 of
Per step 116, a determination may then be made as to whether or not the defect is visible in the BSE image data obtained by the SEM in the BSE mode. This may be performed by automated processing of the BSE image data to detect the defect.
If the defect is determined to be visible in the BSE image (SEM Visible or SV) in step 116, then the method 100 may go to step 110. In step 110, the defect at the selected defect location which is visible in the BSE image may be classified into a defect classification. Per step 112, the defect classification and the BSE image at the selected defect location may then be written (stored) into a record associated with the selected defect location.
On the other hand, if the defect is determined to be non-visible in the SEM image (SEM Non-Visible or SNV) in step 116, then the method 100 may go to step 118. In step 118, the SEM Non-Visible or SNV status may be written (stored) into a record associated with the selected defect location.
Thereafter, per step 120, a determination may be made as to whether or not there are more defect locations to review. If there are more defect locations to review, then the method 100 loops back to step 104 and selects a next defect location for review. Otherwise, if there are no more defect locations to review, then the method 100 may end.
As shown in
The landing energy of the incident electrons is generally determined by the operating voltage 252 applied to the emitter of the electron gun 202 and the bias voltage 254 applied to the stage 223 which holds the target substrate 222. The bias voltage 254 is also typically applied to the objective lens 219. These applied voltages may be generated by high-voltage power supplies under control of the system controller and data processing system 240. In accordance with an embodiment of the invention, the operating voltage 252 and the bias voltage 254 may be controlled such that the landing energy may be at a high setting or at a low setting.
The apparatus 200 also includes a detection system which may be arranged to selectively detect electrons 205 in a controllable range of energies from the electrons emitted from the target substrate 222. In general, the electrons scattered (emitted) from the target substrate 222 may include secondary electrons and/or backscattered electrons. An energy filter 227 may be arranged in a path of the scattered electrons. A voltage may be applied to the energy filter 227 such that the backscattered electrons have sufficient energy to pass the filter while the secondary electrons do not have sufficient energy to pass the filter.
Once the electrons are detected by the detector 228, the detected signal may be received and processed by image data generation circuitry 234 (which may include, for example, analog-to-digital conversion circuitry and frame buffers). The image data generation circuitry 234 coordinates the detected signal with the beam scan signal so that image data of the surface may be generated. The image data generated by the image data generation circuitry 234 may be provided to the system controller and data processing system 240.
A simplified block diagram showing select components of the system controller and data processing system 240 is depicted in
As shown, in accordance with an embodiment of the invention, the memory 242 may be configured to hold instruction code 246 which may be executed by the processor 241. In accordance with an embodiment of the invention, the instruction code 246 may be configured so as to implement the method 100 described above in relation to
If the defect is determined to be SEM non-visible (SNV) in step 108, then the method 300 of
If the defect is determined to be SEM visible in the voltage-contrast image, then the method 300 goes to step 110 (where the defect at the selected defect location is classified) and step 112 (where the defect classification and the voltage-contrast image of the selected defect location are recorded). On the other hand, if the defect is determined to be non-visible in the voltage-contrast image, then the method 300 moves on to step 118 (where SNV status of the selected defect location is recorded).
If the defect is determined to be SEM non-visible (SNV) in step 316, then the method 400 of
If the defect is determined to be SEM visible in the BSE image, then the method 400 goes to step 110 (where the defect at the selected defect location is classified) and step 112 (where the defect classification and the BSE image of the selected defect location are recorded). On the other hand, if the defect is determined to be non-visible in the BSE image, then the method 400 moves on to step 118 (where SNV status of the selected defect location is recorded).
Hence, the review flow of the method 400 of
In the above description, numerous specific details are given to provide a thorough understanding of embodiments of the invention. However, the above description of illustrated embodiments of the invention is not intended to be exhaustive or to limit the invention to the precise forms disclosed. One skilled in the relevant art will recognize that the invention can be practiced without one or more of the specific details, or with other methods, components, etc. In other instances, well-known structures or operations are not shown or described in detail to avoid obscuring aspects of the invention. While specific embodiments of, and examples for, the invention are described herein for illustrative purposes, various equivalent modifications are possible within the scope of the invention, as those skilled in the relevant art will recognize.
These modifications can be made to the invention in light of the above detailed description. The terms used in the following claims should not be construed to limit the invention to the specific embodiments disclosed in the specification and the claims. Rather, the scope of the invention is to be determined by the following claims, which are to be construed in accordance with established doctrines of claim interpretation.
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