#ElectronMicroscope
Explore tagged Tumblr posts
Text
youtube
What is Cryogenic Transmission Electron Microscopy or Cryo-TEM?. This is an introductory lecture about Cryogenic Transmission Electron Microscopy (Cryo-TEM) to the interdisciplinary audience. Topics including, conventional TEM imaging, negative staining, supercritical drying, and single particle reconstruction are covered in this lecture.
3 notes · View notes
market-insider · 3 months ago
Text
Advancements in Microscope Technology: Market Growth and Forecast
The global microscope market size is expected to reach USD 20.43 billion by 2030, registering a CAGR of 8.0% during the forecast period, according to a new report by Grand View Research, Inc. High demand from the healthcare sector and the rapidly growing semiconductor industry are among the key factors boosting the market growth.
Tumblr media
Microscope Market Report Highlights
The electron product segment dominated the market in 2023 due to the high product on account of applications in various fields, such as life sciences, semiconductors, and material science
The life science application segment led the market in 2023 due to wide product applications in the diagnosis of diseases
Asia Pacific dominated the market in 2023 and is estimated to record the fastest CAGR from 2024 to 2030
The growth is attributed to the high investments in R&D, product innovations, and the establishment of microscopy centers at research & education institutes, which, in turn, is boosting the product demand
The majority of key manufacturers are headquartered in Japan and the U.S., with a presence in other regions through distributors, subsidiaries, or corporate offices
Manufacturers, such as Olympus Corp., have adopted direct selling by providing online purchasing facilities, along with association with distributors. Other manufacturers provide store/dealer details on their websites, depending on a customer’s location, to facilitate the early purchaset.
For More Details or Sample Copy please visit link @: Microscope Market Report
The establishment of microscopy to promote research activities is also contributing to the product demand. One of the most important applications of microscopes is in surgical interventions. Magnified imaging systems are in high demand for cancer and neuroscience surgical procedures to improve procedural success. Major market players are focusing on developing dedicated microsurgery offerings, such as the spine, cranial, and other multi-disciplinary surgeries.
The growing adoption and rising investments in the development of microscopes by precision manufacturing industries are expected to drive market growth. However, due to the impact of the COVID-19 pandemic companies reported decreases in the revenue in the second quarter of the year 2020, which affected the supply chain of most of the companies. Manufacturers in the market are adopting strategies, such as product innovation by integrating the latest technology and geographic expansion through mergers & acquisitions. For instance, in October 2020, Bruker Corp. launched the Vutara VXL Super-Resolution Fluorescence Microscope, designed for biological imaging at the nanoscale, which can improve the study of nano-level cellular biology, especially in the field of spatial omics imaging.
List of Key Players in the Microscope Market
Zeiss Group
Bruker Corporation
CAMECA
Thermo Fisher Scientific, Inc.
Nikon Corporation
Olympus Corporation
NT-MDT SI
Hitachi High-Tech Corporation
JEOL Ltd.
Oxford Instruments (Asylum Corporation)
We have segmented the global microscope market report based on type, application, and region.
0 notes
seimitsu-factory-automation · 11 months ago
Text
0 notes
beingsanket · 2 years ago
Text
0 notes
govindhtech · 1 month ago
Text
LICONN: Light Microscopy Connectomics For Brain Mapping
Tumblr media
LICONN (light-microscopy connectomics)
An innovative brain mapping method uses light microscopy to provide unprecedented detail.
ISTA and Google Research researchers have developed a light microscope method for brain "mapping." LICONN (light-microscopy-based connectomics) simplifies brain mapping, or connectomics, which is tough. The breakthrough should speed brain and neurological illness research.
For almost a decade, Google Research has used Artificial Intelligence to map brain cell connections using connectomics. The brain's incredible information processing capacity is due to neurone circuitry and chemical characteristics. Researchers must understand the brain's spatial organisation, find cellular features like axons and dendrites, resolve synaptic connections, and assign them to neurones to understand how it works. Intensive cellular labelling and nanoscale volumetric imaging are needed.
The nanoscale resolution needed for dense, synapse-level circuit reconstruction has traditionally been achieved with costly, specialist electron microscopes (EM). EM-based technologies have substantially increased connectomics, but they still have several disadvantages, notably in retrieving tissue molecular information. Light microscopy can see specific molecules, but resolution, contrast, and volumetric imaging limits prevent dense, synapse-level circuit reconstruction.
LICONN overcomes these issues with deep-learning-based segmentation and analysis and a customised tissue expansion method. ISTA researchers developed a method to grow brain tissue while preserving its cells. This expansion increases the distances between cellular features, allowing spinning-disc confocal microscopes to capture nanoscale details like molecules, cells, and their connections that would otherwise require super-resolution or electron microscopy.
Tissue must be placed in a swellable hydrogel for LICONN expansion. Instead of optical super-resolution, LICONN employs hydrogel expansion to increase resolution. High-fidelity iterative hydrogel expansion yields a 16-fold expansion factor. A light microscope objective with a high numerical aperture can resolve 20 nm laterally and 50 nm axially. Hydrogel embedding helps homogenise the refractive index and acquire extended volumes laterally and along the z-axis, which other super-resolution methods may struggle with.
Infusing mice with a fixative solution containing hydrogel monomers gives cellular molecules vinyl residues that co-polymerize with the hydrogel. Brains are then sliced, collected, and treated with multifunctional epoxide compounds like GMA and TGE to stabilise biomolecules and functionalise proteins for hydrogel anchoring. Epoxide therapy improved synaptic properties and cellular ultrastructure compared to other anchoring methods. Mechanically robust triple-hydrogel-sample hybrids are simpler to handle and image due to their 16-fold expansion.
Google Research's open-source image processing and AI capabilities recreated cells and their interactions using light microscopy data. After imaging using a spinning-disc confocal microscope, utilising automated methods like SOFIMA (scalable optical flow-based image montaging and alignment), overlapping subvolumes are fused into seamless larger volumes.
Larger volumes are examined using deep learning-based segmentation methods developed from EM connectomics. Flood-filling networks (FFNs), known for their high segmentation accuracy on connectomic datasets, were trained for autonomous neural structure segmentation. Although early splits are sacrificed, the segmentation process minimises erroneous neurite mergers. An automatic aggregation and rigorous hand proofreading solve them. Semantic segmentation employing a neural network model automatically classifies segments into glia, dendrites, and axons.
LiconN measures spatially resolved molecular information directly and concurrently in addition to structural mapping. Specific protein immunolabelling does this. Researchers used immunolabelling to identify excitatory (SHANK2, bassoon, PSD95, VGLUT1) and inhibitory (gephyrin, bassoon) post- and pre-synapses to include molecular information directly into synapse-level reconstructions. Comparing to EM, this capacity is advantageous. Automated synapse recognition, which often uses deep learning to forecast molecular sites, simplifies connection analysis.
Several approaches validated LICONN's capabilities. Manual tracing of neural structures in LICONN data showed remarkable consistency (low axon mistake rates, high spine identification accuracy) compared to ground truth from sparse fluorescent labelling using eGFP. After proofreading, automated FFN segmentation produced minimal axon or dendritic trunk faults and 95.6% edge accuracy. Comparing immunolabelling- and deep learning-based synapse identification algorithms to human annotations showed high fidelity (F1 score > 0.9). Additionally, LICONN's neuronal connectivity statistics matched prior EM findings.
This method has mapped mouse brain tissue, including the hippocampus and primary somatosensory cortex. Researchers found imaging volumes of around 1 million µm³ at the native tissue size, similar to previous EM datasets. Long-term goals include imaging a mouse brain with LICONN. Iterative block-face imaging and sectioning of the larger hydrogel may enable smooth volume fusion at greater depths by axial scaling. This was demonstrated by axial fusion of 205 µm volumes.
LICONN claims to be a straightforward method for integrated structural and molecular characterisation of cells, spatial scales, and brain regions. It was designed to replicate complex tissue structures like the brain, but it should work for other organs and systems that need high-resolution tissue analysis. LICONN is accessible since it uses ordinary light microscopy apparatus and procedures that aren't more difficult than current expansion techniques. Open-source deep-learning analysis tools use bespoke code and frameworks.
In conclusion, LICONN revolutionises connectomics by directly integrating molecular data and reliably reconstructing brain circuits at the synapse level using light microscopy. LICONN might revolutionise neuroscience research by making routine connectomic investigations easier in more laboratories and speeding up brain and disease discoveries by decreasing the barrier to high-resolution brain mapping.
0 notes
electricalinsightsdaily · 9 months ago
Text
Work Function: Unlocking the Secrets of Electron Emission
The work function is a fundamental concept in solid-state physics and materials science, playing a crucial role in understanding electron emission from surfaces. This intrinsic property of materials describes the minimum energy required to extract an electron from a solid to a point immediately outside its surface.
At its core, the work function represents the energy barrier that electrons must overcome to escape the material. This barrier arises from the attractive forces between the electrons and the positive ions in the material's lattice structure. The strength of this barrier varies among different materials, leading to diverse applications in technology and research.
The derivation of the work function involves considering the energy states of electrons within the material and at its surface. We start by examining the Fermi level, which represents the highest occupied energy state at absolute zero temperature. The work function is then defined as the energy difference between the Fermi level and the vacuum level (the energy of a free electron at rest outside the material).
To calculate the work function, we must account for several factors:
The chemical potential of electrons in the bulk material
The electrostatic potential difference between the bulk and the surface
Surface dipole effects due to electron redistribution at the material's boundary
By combining these components, we arrive at a comprehensive understanding of the work function and its variations across different materials and surface conditions.
The implications of work function extend far beyond theoretical physics. It influences various phenomena and technologies, including:
Thermionic emission in vacuum tubes and cathode ray tubes
Photoelectric effect in solar cells and photomultiplier tubes
Field emission in electron microscopy and flat-panel displays
Schottky barriers in semiconductor devices
Read More about work function formula
0 notes
davidwfloydart · 2 years ago
Photo
Tumblr media
He’s kinda cute. And, a little surprised. #deepseaworm #electronmicroscope #hydrothermal #wormszone #amazingnature (at Catalina Foothills, Arizona) https://www.instagram.com/p/CpeA2mLJeNSgloPuV7fSHvRZEP9uTc0Z43YHcU0/?igshid=NGJjMDIxMWI=
2 notes · View notes
atreybhosale · 5 years ago
Link
The advent of microscopes has unlocked a completely new dimension in the field of science and microscopy. Most often found in laboratory microscopes are a simple yet sophisticated solution that helps scientists to look earnestly into the world of microbes in order to assemble facts and aspects regarding them.
Over the last centuries, microscopes have undergone many revolutions in terms of resolution such as super-resolution microscopy methods, electron microscopes, and atomic force microscopes. Moreover, the wide utilization of microscopes in various applications has in turn, increased the demand for microscopes.
On the other hand, the market players are highly investing to introduce further advancements. In addition, the stakeholders are adopting various strategies and the launch of innovative products is amongst the most trending. At the same time, the market is undergoing a number of activities. Following are some of the recent happenings in the market.
The launch of advanced products is one of the most trending strategies followed by the market players with the aim of providing the best services to the consumers along with satisfying their requirements. Recently, Nikon, a multinational and leading corporation in optics and imaging has unveiled Nikon Eclipse Ei an educational microscope. The purpose is to meet the need of remote education along with spontaneous operating experience and amended learning experience.
Moreover, the ECLIPSE Ei has a dense and lightweight design that improves compactness and features the chrome-free infinity optical system. Moreover, the microscope also assists in sharing specimen images using a monitor or projector, when combined with an optional Digital Sight 1000 microscope camera.
Following the same trend, a Miltenyi Biotec, a global biotechnology company has launched the UltraMicroscope Blaze, pronounced as the only fully-automated light-sheet microscope. Furthermore, it facilitates the users to image numerous samples at subcellular resolution in 3D. In addition, the instrument aims to have the potential to fast-track a variety of researches in the arena of immune-oncology and neuroscience.
Along with the simplified uses of microscopes, they are widely available. Moreover, the increasing adoption of microscopes in a variety of applications has increased its demand which is anticipated to boost the industry. According to a report published by Allied Market Research, the global microscope market is expected to reach $1.64 billion, at a CAGR of 3.2% from 2020 to 2027.
1 note · View note
michaelgarfield · 3 years ago
Photo
Tumblr media
As much fun as I've been having with the #AssemblySpaceTelescope, let's not forget its companion instrument, the #HeadSpaceMicroscope! ✨😅 . #midjourney #midjourneyart #promptism #GANart #AIart #AIArtwork #electronmicroscopy #electronmicroscope #thesemicroversesdontexist (at Santa Fe, New Mexico) https://www.instagram.com/p/Cgdyaqhu1eW/?igshid=NGJjMDIxMWI=
0 notes
Text
youtube
This video shows how a Scanning Electron Microscope works? And how to use a virtual scanning electron microscope to acquire a good image. It is a great learning and teaching tool. You can access the virtual TEM at https://myscope-explore.org/virtualSE... developed by Microscopy Australia and Thermofisher Scientific.
1 note · View note
sakurabreeze · 7 years ago
Video
vimeo
Microworld Unseen: Chapter 01 Pale Grass Blue:
Pale grass blue (Pseudozizeeria maha) is a common butterfly found in Asia.
5 notes · View notes
Text
0 notes
nanoscape · 7 years ago
Photo
Tumblr media
Tardigrade, otherwise known as a water bear, or moss piglet. This particulas sample had an extreme test, one year in a closed sample container. Not the best preservation but still a fun sample to image given the conditions. A mix/merge of the T1 and T2 trinity detectors with a bit of mixing of the mix using just RGB for each of the three channels on the @thermosciemspec Apreo UI functions. #scanningelectronmicroscopy #electrons #blackandwhite #waterbear #tardigrade #nanoscape #microworld #microscope #microscopy #artistsoninstagram #sciart #artandscience #scienceandart #science #art #backscatteredelectrons #unfiltered #unknown #seeingtheunseeable #electronmicroscope #electronmicroscopy #highmagnification #micrograph #microlife #instascience #scienceisfun🔬 #scienceisawesome #🔬 https://www.instagram.com/p/BokPsveBBaD/?utm_source=ig_tumblr_share&igshid=1a622pif3obr7
2 notes · View notes
beingsanket · 2 years ago
Text
0 notes
acsec · 7 years ago
Photo
Tumblr media
happy with my new results, natapos din sa wakas ang 2 abstracts haha 😉❤️ nag extended summer vacay kasi ang SEM namin kakabalik lang, ang problema ay cables lang tas binalik sa supplier para isolve haha kaloka 😆 lalim na ng eyebags ko huhuhu 😭 #amazingadventuresofbeaujethro #filipinoscientist #sem #microscopy #electronmicroscope #electronmicroscopy #microscope #scientist #postdoc #doctorant #professeur #balikeskwela #chemist #physicist #chemistry #physics #happykid #plasma #univ_nice #nice06 #nice #france #science (at Nice, France) https://www.instagram.com/p/BoO7Zzxh8Rr/?utm_source=ig_tumblr_share&igshid=1hww3akn0un4b
1 note · View note
martaine · 5 years ago
Photo
Tumblr media
La iglesia de San Giovanni Battista se remonta al siglo VII, por lo tanto, es una de las más antiguas de Capadocia. Es admirable la precisión en la excavación de los cuartos adyacentes e intercomunicados, así como el tallado de las columnas, arcos, capiteles y frisos simbólicos. La vista sobre el acantilado vertical y el pueblo de abajo es vertiginosa. Los frescos que decoran la zona del ábside, dedicados a la vida de Cristo y el Bautista, se han desvanecido casi por completo debido a los efectos del tiempo y la descortesía sistemática de los visitantes: esto hace mas emocionante descifrar y reconocer las escenas evangélicas pintadas. La chiesa di San Giovanni Battista risale al VII secolo, è una delle più antiche della Cappadocia. Ammirevole la precisione nello scavo degli ambienti adiacenti e comunicanti, così come l'intaglio delle colonne, degli archi, dei capitelli e dei fregi simbolici. La vista sulla città sottostante è vertiginosa. Gli affreschi che decorano la zona absidale, dedicati alla vita di Cristo e del Battista, sono quasi del tutto sbiaditi per effetto del tempo e della sistematica scortesia dei visitatori: questo rende più emozionante decifrare e riconoscere le scene evangeliche dipinte . #lahavana #remontavto #ünalturan #capadociaturkey #kunstvanonderderivieren #adyacentesontour #comodità #arcosanti #laydiirest #elgranmalon #mariscosfrescos #absidem #electronmicroscope #carporn #tiempoaltiempo #debethune #emocionantedemais #escenasdepeliculas #laydiirest #risaleinur #antichevarietà #ammirevoleshop #universitàdeglistudidipadova #comunicantiproduções #colonnesonore #fregio #sottostanteorologio #affreschilovers #absidale (en Cappadocia / Kapadokya) https://www.instagram.com/p/CG-1qEfnfJb/?igshid=55x8ywjmgfy2
0 notes