IP Library Granted Patent US 11,538,723
Granted Patent B2
US 11,538,723 · App. 16/880,042 · Granted Dec 27, 2022

Optical diagnostics of semiconductor process using hyperspectral imaging

Inventors: Yan Chen (Fremont, CA); Xinkang Tian (Fremont, CA)
Assignee: Tokyo Electron Limited
H01L22/26G01J3/2823G01N21/71G01N21/8806G01N21/9501G06T7/0004H01J37/32963H01L21/3065G01J2003/2826G01N2021/8461G01N2021/8845G06T2207/30148H01J2237/24514H01J2237/334
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Quick Facts
Patent No.
US 11,538,723
App. No.
16/880,042
Granted
Dec 27, 2022
Kind
B2
Abstract

Disclosed are embodiments of an improved apparatus and system, and associated methods for optically diagnosing a semiconductor manufacturing process. A hyperspectral imaging system is used to acquire spectrally-resolved images of emissions from the plasma, in a plasma processing system. Acquired hyperspectral images may be used to determine the chemical composition of the plasma and the plasma process endpoint. Alternatively, a hyperspectral imaging system is used to acquire spectrally-resolved images of a substrate before, during, or after processing, to determine properties of the substrate or layers and features formed on the substrate, including whether a process endpoint has been reached; or before or after processing, for inspecting the substrate condition.

Claims (60)

1. A method for diagnosing a plasma process step in a plasma processing system, comprising:

igniting a plasma in a plasma processing chamber of the plasma processing system;

collecting a plasma optical emission signal through a window mounted in a wall of the plasma processing chamber, and through collecting optics;

directing the plasma optical emission signal from the collecting optics into a wavelength tunable filter for tunably selecting a wavelength of the collected plasma optical emission signal;

detecting the wavelength-filtered plasma optical emission signal using an array detector; and

storing and processing images acquired by the array detector in a controller,

wherein the controller is configured for controlling at least the wavelength tunable filter and the array detector.

2. The method of claim 1 , further comprising:

selectively tuning a passband wavelength of the wavelength tunable filter, across a range or multiple overlapping or non-overlapping ranges of wavelengths in the deep ultraviolet (DUV), ultraviolet (UV), visible (VIS), and infrared (IR) portions of the optical spectrum.

3. The method of claim 2 , further comprising:

forming an image cube, the image cube consisted of a set of images detected by the array detector, each image in the set being acquired at a wavelength defined by an instantaneous passband wavelength to which the wavelength tunable filter is tuned.

4. The method of claim 3 , further comprising:

determining an endpoint of the plasma process step from a sequence of plasma optical emission spectra formed from a sequence of image cubes acquired during the plasma process step.

5. The method of claim 3 , further comprising:

determining a relative concentration of at least one chemical constituent of the plasma from at least one plasma optical emission spectrum formed from at least one image cube.

6. A method for measuring at least one property of at least one layer or structure formed on a substrate disposed in a semiconductor processing system, comprising:

initiating a process step in the semiconductor processing system;

illuminating the substrate with an illumination beam, the portion of the illumination beam reflected and diffracted from the substrate forming a diffracted optical signal;

collecting the diffracted optical signal through a window mounted in a wall of the semiconductor processing system, and through collecting optics;

tunably selecting a wavelength of either the illumination beam or the diffracted optical signal using a wavelength tunable filter disposed in either the illumination beam or the diffracted optical signal, respectively, to form a wavelength-filtered diffracted optical signal;

detecting the wavelength-filtered diffracted optical signal using an array detector; and

storing and processing images acquired by the array detector in a controller,

wherein the controller is configured for controlling at least the wavelength tunable filter and the array detector.

7. The method of claim 6 , further comprising:

selectively tuning a passband wavelength of the wavelength tunable filter, across a range or multiple overlapping or non-overlapping ranges of wavelengths in the deep ultraviolet (DUV), ultraviolet (UV), visible (VIS), and infrared (IR) portions of the optical spectrum.

8. The method of claim 7 , further comprising:

forming an image cube, the image cube consisted of a set of images detected by the array detector, each image in the set being acquired at a wavelength defined by an instantaneous passband wavelength to which the wavelength tunable filter is tuned.

9. The method of claim 8 , further comprising:

determining at least one property of a layer or structure formed on the substrate from at least one diffracted optical spectrum derived from at least one image cube.

10. The method of claim 9 , wherein the at least one property of a layer or structure on the substrate is a profile top critical dimension (CD), a profile bottom critical dimension (CD), a profile middle critical dimension (CD), a profile sidewall angle, a layer thickness, a layer optical property, or a remaining thickness of a layer being etched.

11. The method of claim 8 , further comprising:

determining an endpoint of the process step from a sequence of diffracted optical spectra derived from a sequence of image cubes acquired during the process step.

12. The method of claim 8 , further comprising:

determining a spatial correspondence of locations on the substrate and pixel locations in images of at least one selected image cube; and

deriving at least one diffracted optical spectrum from the at least one selected image cube.

13. The method of claim 12 , wherein the at least one diffracted optical spectrum is derived from a single selected pixel location across all images or a selected subset of images in the at least one selected image cube.

14. The method of claim 12 , wherein the at least one diffracted optical spectrum is derived from at least one selected region of pixel locations across all images or a selected subset of images in the at least one selected image cube.

15. The method of claim 12 , wherein the at least one diffracted optical spectrum is derived from all pixel locations across all images or a selected subset of images in the at least one selected image cube.

16. The method of claim 8 , wherein at least two diffracted optical spectra are derived from a single pixel location across all images or a selected subset of images in at least two image cubes, and wherein the single pixel location is selected such that a rate of change of at least one light intensity between two derived diffracted optical spectra exceeds a pre-selected threshold rate of change of light intensity.

17. The method of claim 8 , wherein at least two diffracted optical spectra are derived from a region of pixel locations across all images or a selected subset of images in at least two image cubes, and wherein the region of pixel locations is selected such that a rate of change of at least one light intensity between two derived diffracted optical spectra exceeds a pre-selected threshold rate of change of light intensity.

18. A method for inspecting a substrate in a substrate inspection system, comprising:

placing the substrate on a stage in the substrate inspection system;

illuminating the substrate with an illumination light source;

collecting an optical signal caused by illuminating the substrate, through collecting optics;

directing the collected optical signal from the collecting optics into a wavelength tunable filter for tunably selecting a wavelength of the collected optical signal;

detecting the wavelength-filtered signal using an array detector; and

storing and processing images acquired by the array detector in a controller,

wherein the controller is configured for controlling at least the wavelength tunable filter and the array detector.

19. The method of claim 18 , further comprising:

selectively tuning a passband wavelength of the wavelength tunable filter, across a range or multiple overlapping or non-overlapping ranges of wavelengths in the deep ultraviolet (DUV), ultraviolet (UV), visible (VIS), and infrared (IR) portions of the optical spectrum.

20. The method of claim 19 , further comprising:

forming an image cube, the image cube consisted of a set of images detected by the array detector, each image in the set being acquired at a wavelength defined by an instantaneous passband wavelength to which the wavelength tunable filter is tuned.

21. The method of claim 20 , further comprising:

determining at least one property of the substrate, or of a layer or structure formed on the substrate from at least one optical spectrum derived from at least one image cube.

22. The method of claim 20 , further comprising:

determining a spatial correspondence of locations on the substrate and pixel locations in images of at least one selected image cube; and

determining at least one optical spectrum from the at least one selected image cube.

23. The method of claim 22 , wherein the at least one optical spectrum is derived from a single selected pixel location across all images or a selected subset of images in the at least one selected image cube.

24. The method of claim 22 , wherein the at least one optical spectrum is derived from at least one selected region of pixel locations across all images or a selected subset of images in the at least one selected image cube.

25. The method of claim 22 , wherein the at least one optical spectrum is derived from all pixel locations across all images or a selected subset of images in the at least one selected image cube.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 21, 2020
From: CHEN, YAN; TIAN, XINKANG
To: TOKYO ELECTRON LIMITED
Reel/Frame 052723/0800 →
Continuity (2)
Provisional Application 62851756 · May 23, 2019
Related Publication 20200373210A1 · Nov 26, 2020
Cited By (2)
US 12,315,251 US 12,669,452