Development of a Double-tilt Liquid Cell Holder for Zone-axis Incidence Imaging of FIB-prepared Single Crystal Samples
Notice bibliographique
Résumé
Transmission electron microscopy (TEM) and scanning TEM (STEM) for imaging samples in a liquid cell use transmitted electrons passing through the top and bottom windows of the cell chips and liquid media. The window material of the cell chip fabricated via MEMS technology is popularly silicon nitride thin films with 30 to 50 nm in thickness, and a gap between two windows is usually several hundred nm, in which media and samples are enclosed [1]. Such thick windows and media worsen the resolution of TEM/STEM. Thus, it has been thought that atomic-resolution imaging of samples in a liquid cell is generally difficult. However, the contrast of atomic columns can be enhanced due to the electron channeling effect if the single crystal sample is aligned along a zone axis incidence, and this manner is common for conventional atomic-resolution STEM. In the present work, we developed a double-tilt liquid cell holder to image single crystal samples in a liquid on the zone-axis incident condition. The sample was SrTiO3 <001> lamella prepared with a focused ion beam (FIB) technique. This was prepared in an H-bar fabrication manner, and the center region was thinned to be less than 100 nm, and both sides were about 180 to 200 nm. There is an issue with transferring a FIB sample on a cell chip window using the in-situ transfer method with a dual-beam instrument equipped with a microprobe system because excessive Ga ion irradiation causes damage to a window during the transfer process. Ingenious procedures have been attempted to minimize Ga ion irradiation onto a cell chip window, followed by gas- and liquid-cell STEM observations [2,3]. Recently, the procedure of transferring FIB samples onto a window using an optical microscope and an electrically biased tungsten tip in the air has been proposed, which could fix the above issue [4]. We modified this method and applied it to the present work, e.g., a FIB-prepared SrTiO3 <100> sample was picked-up and put onto a chip window at the desired position using a glass probe and an optical microscope as shown in Fig.1. The SrTiO3 sample was immobile even when turning over the chip and when dropping a water droplet onto it, indicating good adhesivity between the sample and window. The chip was set in the double-tilt liquid cell vessel, and a pure water droplet of 0.1 µL was dropped onto it, followed by covering another chip. The enclosed chips form a fully sealed liquid volume housed in an on-chip fluidic chamber (see Fig.1(c)). Finally, it was fixed by a lid and screws to complete the assembly of the liquid cell holder, as shown in Fig.2. Figure 3(a) shows an annular dark field (ADF) STEM image of the sample in the liquid cell, taken with an aberration-corrected STEM instrument, JEM-ARM200F. Oxygen signals from the area outside the sample in electron energy loss spectroscopy confirmed that a water layer existed there. Figure 3(b) shows an atomic-resolution ADF-STEM image from the thinnest area, acquired after aligning the sample orientation along the <100> zone axis. Sr and Ti-O atomic columns could be seen. Thus, it was demonstrated that electron channeling along several tens nm atomic columns resulted in high-contrast atomic images overcoming background from thick windows and media [5]. (a) FIB-prepared SrTiO3 <100> sample, (b) Sample pick-up using a glass probe, (c) Top-view of a liquid cell chip with an on-chip fluidic chamber, and (d) Sample on a chip window. Photo of the developed double-tilt liquid cell holder. (a) Low-magnification ADF-STEM image of SrTiO3 <100> sample and (b) Magnified ADF-STEM image taken from a thin area of (a) on the zone-axis incidence condition (the off-line drift correction processed).
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».