The same X-ray transparent in situ pouch cell design and sample holder plates were used for both 2D

Similar documents
Supporting Information for Critical Factors of the 3D Microstructural Formation. in Hybrid Conductive Adhesive Materials by X-ray Nano-tomography

Supporting information SI 0: TEM & STEM acquisition parameters, in 2D and 3D

The Electrochemical Innovation Lab X-ray Suite: from macro- to nano-ct

Using X-Ray Micro Tomography to assess the quality of Packaging Foil

Enhanced material contrast by dual-energy microct imaging

SUPPLEMENTARY INFORMATION

Micro-CT in situ study of carbonate rock microstructural evolution for geologic CO2 storage

Advanced materials research using the Real-Time 3D Analytical FIB-SEM 'NX9000'

Coherent Diffraction Imaging with Nano- and Microbeams

Supplementary Materials for

SUPPLEMENTARY INFORMATION

Analysis of Cornell Electron-Positron Storage Ring Test Accelerator's Double Slit Visual Beam Size Monitor

Supporting Information

Supporting Information

HIGH RESOLUTION COMPUTED TOMOGRAPHY FOR METROLOGY

Projection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT

LABORATORY SYSTEM FOR X-RAY NANOTOMOGRAPHY

Digital Image Processing

SYSTEM LINEARITY LAB MANUAL: 2 Modifications for P551 Fall 2013 Medical Physics Laboratory

CT Reconstruction with Good-Orientation and Layer Separation for Multilayer Objects

Supplementary Figure 1 Optimum transmissive mask design for shaping an incident light to a desired

Tomography data processing and management

Single-particle electron microscopy (cryo-electron microscopy) CS/CME/BioE/Biophys/BMI 279 Nov. 16 and 28, 2017 Ron Dror

45 µm polystyrene bead embedded in scattering tissue phantom. (a,b) raw images under oblique

TXM Wizard Data Analysis (Be sure to also look at the online help for TXM Wizard)

THREE-DIMENSIONA L ELECTRON MICROSCOP Y OF MACROMOLECULAR ASSEMBLIE S. Visualization of Biological Molecules in Their Native Stat e.

XRADIA microxct Manual

HIGH-SPEED THEE-DIMENSIONAL TOMOGRAPHIC IMAGING OF FRAGMENTS AND PRECISE STATISTICS FROM AN AUTOMATED ANALYSIS

3. Image formation, Fourier analysis and CTF theory. Paula da Fonseca

doi: /

Fluorescence Tomography Source Reconstruction and Analysis

Digital Volume Correlation for Materials Characterization

BME I5000: Biomedical Imaging

Condenser Optics for Dark Field X-Ray Microscopy

A Projection Access Scheme for Iterative Reconstruction Based on the Golden Section

Supporting Information. Super Resolution Imaging of Nanoparticles Cellular Uptake and Trafficking

Digital Image Processing COSC 6380/4393

Calibration of Recorded Digital Counts to Radiance

Digital Laminography and Computed Tomography with 600 kv for Aerospace Applications

Simulation of Mammograms & Tomosynthesis imaging with Cone Beam Breast CT images

Radiology. Marta Anguiano Millán. Departamento de Física Atómica, Molecular y Nuclear Facultad de Ciencias. Universidad de Granada

12/7/2012. Biomolecular structure. Diffraction, X-ray crystallography, light- and electron microscopy. CD spectroscopy, mass spectrometry

MEDICAL IMAGE ANALYSIS

Ralf K. Heilmann CAT-GS: Critical-Angle Transmission Grating Spectrometer January 27,

New Tools in Aircraft Accident Reconstruction to Assist the Insurer. Overview. Overview 4/30/2015

FLUOSTAR Rhodamine B- encapsulating microspheres are seeding particles optimized for Particle Image Velocimetry. Technical handbook ver.

4. Recommended alignment procedure:

ksa MOS Ultra-Scan Performance Test Data

Méthodes d imagerie pour les écoulements et le CND

Cover Page. The handle holds various files of this Leiden University dissertation.

Detecting Salient Contours Using Orientation Energy Distribution. Part I: Thresholding Based on. Response Distribution

Supplementary Information

Characterization of cracks in cement-based materials by microscopy and image analysis

Efficient 3D Crease Point Extraction from 2D Crease Pixels of Sinogram

Presentation and analysis of multidimensional data sets

Single-particle electron microscopy (cryo-electron microscopy) CS/CME/BioE/Biophys/BMI 279 Nov. 16 and 28, 2017 Ron Dror

Optimal laser welding assembly sequences for butterfly laser module packages

School on X-ray Imaging Techniques at the ESRF. Pierre BLEUET. ID22 Beamline

Transmission Electron Microscopy 3D Construction by IPET Method TCBG GPU Workshop

VARIABILITY IN MICRO-COMPUTED TOMOGRAPHY IMAGES FOR NON-DESTRUCTIVE EVALUATION OF FRICTION-STIR WELD QUALITY

2D Image Alignment and Classification

Facile Synthesis of N,O-Codoped Hard Carbon at the Kilogram

LIGHT SCATTERING THEORY

The Determination of Inner Surfaces in Composites by X-Ray Refraction

Improvement of the correlative AFM and ToF-SIMS approach using an empirical sputter model for 3D chemical characterization

Classification of Hyperspectral Breast Images for Cancer Detection. Sander Parawira December 4, 2009

Measurement of period difference in grating pair based on analysis of grating phase shift

Deformation of granular texture media studied by X-ray CT & 3D DIC at the continuous and microstructure scales

Spiral CT. Protocol Optimization & Quality Assurance. Ge Wang, Ph.D. Department of Radiology University of Iowa Iowa City, Iowa 52242, USA

Recognition and Measurement of Small Defects in ICT Testing

Fuel Cell Preparation. The anode supported SOFC studied was Ni-YSZ/YSZ/LSM-

The. Handbook ijthbdition. John C. Russ. North Carolina State University Materials Science and Engineering Department Raleigh, North Carolina

EMBO Practical Course on Image Processing for Cryo EM 1-11 September 2015

Phase-Contrast Imaging and Tomography at 60 kev using a Conventional X-ray Tube

Quantifying Three-Dimensional Deformations of Migrating Fibroblasts

Manual. Infrared cameras. Contour M

Linescan System Design for Robust Web Inspection

Electrically tunable large aperture lens EL TC

Novel evaluation method of low contrast resolution performance of dimensional X-ray CT

2 Proposed Methodology

Application of 450 kv Computed Tomography to Engine Blocks with Steel Liners

Supporting information for: A highly directional room-temperature single. photon device

Adapted acquisition trajectory and iterative reconstruction for few-views CT inspection

Text for the class, Pump-Probe Technique for Picosecond Time-resolved X-ray Diffraction at Cheiron School

3DEM > GENERAL METHODS. SINGLE PARTICLE RECONSTRUCTION (SPA): Introduction

Development of Electrical Capacitance Volume Tomography (ECVT) and Electrostatic Tomography (EST) for 3D Density Imaging of Fluidized Bed System

ADVANCED RECONSTRUCTION FOR ELECTRON MICROSCOPY

Be careful not to leave your fingerprints on the optical surfaces of lenses or Polaroid sheets.

Image Acquisition Systems

Identification of Shielding Material Configurations Using NMIS Imaging

Structural Information obtained

Dragonfly Pro. Visual Pathway to Quantitative Answers ORS. Exclusive to ZEISS OBJECT RESEARCH SYSTEMS

HIGH-PERFORMANCE TOMOGRAPHIC IMAGING AND APPLICATIONS

Inspection of imprint templates Sematech Lithography Workshop May, 2008

A SUPER-RESOLUTION MICROSCOPY WITH STANDING EVANESCENT LIGHT AND IMAGE RECONSTRUCTION METHOD

Supporting Information: FIB-SEM Tomography Probes the Meso-Scale Pore Space of an Individual Catalytic Cracking Particle

Single Photon Interference

Advances in Disk Metrology

Reduction of reconstructed particle elongation using iterative min-max filtering in holographic particle image velocimetry

1. Introduction 1 2. Starting the SAED pattern indexing 1 3. Analyzing the indexing solutions 8 4. Remarks 10 Contents

Transcription:

Electronic Supplementary Material (ESI) for Energy & Environmental Science. This journal is The Royal Society of Chemistry 2014 Supplementary Information Experimental Materials and Electrochemistry The same X-ray transparent in situ pouch cell design and sample holder plates were used for both 2D and 3D imaging, 1 although the imaging holes in the plates were enlarged horizontally to allow imaging at high tilt angles of the sample with respect to the X-ray beam (3D). The pouch cells comprised of a lithium metal counter/reference electrode, Celgard separator soaked in 1.0 M LiPF 6 in 1:1 w/w ethylene carbonate/diethyl carbonate electrolyte (BASF), and a working electrode composed of micron-sized Ge particles (45 wt%, Aldrich), Super P carbon (45 wt%), and PVDF binder (10 wt%) slurry-coated on a 2.5 m ultrathin nickel foil (Alfa Aesar). The ultrathin Ni foil is sufficiently transparent to 11.2 kev x-rays at high tilt angle (~70 ). The working electrode was roll-pressed before cell assembly. The Ge particle loading (~0.2 mg cm -2 ) was chosen such that a set of particles could be tracked at each angle as the cell was rotated through an angular range of approximately 140. The cells were cycled using a MTI eight-channel analyzer (0.02 1 ma) at a constant rate of C/5 based on the theoretical capacity of Ge (1600 mah g -1 ). A cycling current of C/x is calculated such that a single half cycle (lithiation or delithiation) will require theoretically x hours to complete. The potential window was 2.0 V to 0.0 V vs. Li/Li +. Because of the higher than typical carbon loading, the total cell capacities slightly exceeded the theoretical as lithium was inserted into the carbon. Transmission X-ray Microscopy X-ray images were recorded with 11.2 kev x-rays using the full field transmission X-ray microscope on beamline 6-2 at SLAC National Accelerator Laboratory s Stanford Synchrotron Radiation Lightsource (SSRL). The energy was chosen to maximize the Ge contrast with respect to the remaining battery components. The spatial resolution of this microscope is as fine as 30 nm in 2D and approximately 50 nm in 3D. The field of view for a single exposure at 11.2 kev is around 45 µm. Additional details on the microscope are found in papers by Andrews et al., 2 Liu et al., 3 and Meirer et al.. 4

For operando 2D imaging, the cell was cycled concurrent with imaging. A total of five regions within the same cell were imaged approximately every 12 minutes. At each region two one-second images were recorded and averaged to improve the signal to noise ratio. A camera binning of two was used to further improve the image quality without increasing the dose to the sample. With this binning and X-ray energy, the pixel size of the 2D images is 44 nm. Data Analysis The average optical density (OD) of nine particles in five different imaging regions were calculated by thresholding the 2D images to create a binary mask of the particles. The mask was used to determine which pixels were contained within a particular particle. The average optical density (or absorption) for each particle was calculated by averaging the value of all pixels within the particle in the absorption images. By plotting the OD over the cycle, the potential at which the average OD initially dropped and then continued its downward trend was determined. For in situ tomographic imaging, three regions within the same cell were each imaged in their fresh, lithiated, and delithiated states. The TXM setup is capable of operando tomographic imaging; however, it was found that such continuous imaging exceeds the total acceptable X-ray dose tolerated by the cell. Radiation damage, presumably to the electrolyte, renders the local imaging region inactive although the bulk of the battery continues to function normally. To mitigate damage from operando 3D imaging, fewer angular points have to be used. At each of the three regions a single two second image was recorded at each degree over a complete angular range of 140-142 depending on the region. A camera binning of one was used, resulting in a voxel size of 22 nm. To quantify the density changes due to (de)lithiation in the reconstructed tomography data, the regions were individually normalized. For each region, two 100 x 100 x 100 voxel (2.2 µm x 2.2 µm x 2.2 µm) subvolumes were chosen in the before cycled state. One subvolume contained only background voxels while the second contained only voxels entirely within a Ge particle (Fig. S6). The histogram for each subvolume was fit with a Gaussian. The center position of the Gaussian peak was used either as the value for the background or as the value for pure Ge. All the voxels in the region in the three electrochemical states (before cycling, lithiated,

delithiated) we linearly normalized such that the background was zero density and pure Ge was the density of Ge (5.323 cm/g -3 ). The average densities were calculated by fitting the histogram peaks from identically sized subvolumes within the same Ge particle in each electrochemical state. X-ray micrographs were processed using TXM Wizard. 5 Analysis for the 2D imaging included reference correction and alignment of sequential images using a cross correlation algorithm. Analysis for the 3D imaging included reference correction, manual alignment of projection images, and tomographic reconstruction using the Algebraic Reconstruction Technique (ART) algorithm. For display purposes only, the tomographic reconstructions were smoothed with a median filter to reduce the visibility of high frequency artifacts that stem from the missing angular data. All calculations were performed on unsmoothed data. Visualization, median filtering, and density calculations of the 3D reconstructions were performed using the Avizo Fire software package. Area determination and optical density calculations on the 2D images were completed using ImageJ software. References 1. J. Nelson, S. Misra, Y. Yang, A. Jackson, Y. Liu, H. Wang, H. Dai, J. C. Andrews, Y. Cui and M. F. Toney, Journal of American Chemical Society, 2012, 134, 6337-6343. 2. J. C. Andrews, E. Almeida, M. C. van der Meulen, J. S. Alwood, C. Lee, Y. Liu, J. Chen, F. Meirer, M. Feser, J. Gelb, J. Rudati, A. Tkachuk, W. Yun and P. Pianetta, Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, 2010, 16, 327-336. 3. Y. Liu, J. C. Andrews, J. Wang, F. Meirer, P. Zhu, Z. Wu and P. Pianetta, Opt. Express, 2011, 19, 540-545. 4. F. Meirer, J. Cabana, Y. Liu, A. Mehta, J. C. Andrews and P. Pianetta, Journal of synchrotron radiation, 2011, 18, 773-781. 5. Y. Liu, F. Meirer, P. A. Williams, J. Wang, J. C. Andrews and P. Pianetta, Journal of synchrotron radiation, 2012, 19, 281-287.

M1. Movie of in situ TXM absorption snapshots of micron-size germanium particles during first and second cycle for the region shown in Figures 1 and S1. The voltages at which the images were recorded are given in the top left corner. Because the images are displayed on the same contrast and brightness scale and we can assume there is negligible absorption contribution from lithium, then any changes in brightness is linearly proportional to a change in particle density. Images were taking at 11.2 kev with a pixel size of 44 nm. M2. Movie of in situ TXM absorption snapshots of micron-size germanium particles during first and second cycle for the region shown in Figure S3. The voltages at which the images were recorded are given in the top left corner. Because the images are displayed on the same contrast and brightness scale and we can assume there is negligible absorption contribution from lithium, then any changes in brightness is linearly proportional to a change in particle density. Images were taking at 11.2 kev with a pixel size of 44 nm. M3. Movie of in situ TXM absorption snapshots of micron-size germanium particles during first and second cycle. Note that only the upper large particle shows volume changes during the second cycle. The voltages at which the images were recorded are given in the top left corner. Because the images are displayed on the same contrast and brightness scale and we can assume there is negligible absorption contribution from lithium, then any changes in brightness is linearly proportional to a change in particle density. Images were taking at 11.2 kev with a pixel size of 44 nm. M4. Movie of in situ TXM absorption snapshots of micron-size germanium particles during first and second cycle. Note that none of the particles show volume changes during the second cycle. The voltages at which the images were recorded are given in the top left corner. Because the images are displayed on the same contrast and brightness scale and we can assume there is negligible absorption contribution from lithium, then any changes in brightness is linearly proportional to a change in particle density. Images were taking at 11.2 kev with a pixel size of 44 nm.

M5. Movie of in situ TXM absorption snapshots of micron-size germanium particles during first and second cycle. Note that none of the particles show volume changes during the second cycle. The voltages at which the images were recorded are given in the top left corner. Because the images are displayed on the same contrast and brightness scale and we can assume there is negligible absorption contribution from lithium, then any changes in brightness is linearly proportional to a change in particle density. Images were taking at 11.2 kev with a pixel size of 44 nm.

1st lithiation 2.5 Potential vs. Li/Li+ (V) 1st delithiation 2nd lithiation 2.0 2nd delithation 1.5 1.0 0.5 0.0 0 500 1000 1500 2000 Capacity (ma h/g) Figure S1. Voltage capacity plot of the first and second lithiation/delithiation during in operando TXM imaging. There is a 37% drop in capacity between the first and second lithiation cycles. a. b. 5 µm Figure S2. In situ TXM absorption snapshots of the largest particle observed after the first lithation cycle (a) and after the second lithation cycle (b). The volume expansion is significantly larger during the second lithiation cycle.

3000 2500 1st lithiation 1st delithation Potential vs. Li/Li + (mv) 2000 1500 1000 500 0 0 500 1000 1500 2000 Capacity (ma h/g) Figure S3. Electrochemistry of first lithiation and delithiation cycles of the in situ tomography cell.

a. b. c. 5 m d. e. f. 8.5 density (g/cm -3 ) 4.4 0.3 Figure S4. Volume renderings with corresponding cross-sections through the volume from in situ tomographic imaging of Ge particles (a, d) before cycling, (b, e) after the first lithiation cycle, and (c, f) after the first delithiation cycle. To reduce the visibility of sharp features that are artifacts stemming from the missing angular data, the tomographic data were smoothed with a median filter for display purposes. The scale and color bars correspond to the volume renderings and 2D slices.

a. b. c. 5 m d. e. f. 7.9 density (g/cm -3 ) 3.9 0 Figure S5. Volume renderings (above) with corresponding cross-sections through the volume (below) from in situ tomographic imaging of Ge particles (a, d) before cycling, (b, e) after the first lithiation cycle, and (c, f) after the first delithiation cycle. Data were smoothed with a median filter for display purposes to reduce the visibility of sharp features that are artifacts stemming from the missing angular data. The scale bar corresponds to the volume renderings and 2D slices.

5 m Figure S6. Surface rendering of Ge particles before cycling from Fig. 5 with 2.2 µm x 2.2 µm x 2.2 µm subvolumes containing either only voxels entirely within a Ge particle (upper) or only background voxels (lower). These subvolumes are used to normalize the voxel intensities as described in the Methods Section.