Nuno da Costa at the Allen Institute for Brain Research is hiring:
"We are seeking an exceptional individual to develop innovative sectioning techniques for a large scale Electron Microscopy pipeline."
Nuno da Costa at the Allen Institute for Brain Research is hiring:
"We are seeking an exceptional individual to develop innovative sectioning techniques for a large scale Electron Microscopy pipeline."
"SmartEM: machine learning-guided electron microscopy", by Meirovitch et al. 2025 (Shavit's, Samuel's and Lichtmann's lab).
Das #Lichtsteuergerät SL 3930 wurde um 1988 im VEB Starkstrom-Anlagenbau #Leipzig #Halle #VEM als Ergänzung zur gleichnamigen #HiFi Kombination produziert. Das Gerät kombiniert ein Lauflicht-Steuergerät mit einer klassischen #Lichtorgel. Über die rückseitigen Schuko-Steckdosen können insgesamt 4 Strahler angeschlossen werden. Das #RFT SL 3930 folgte dem bereits in #Berlin produzierten #AKA #Lichteffektgerät.
Die ausführlichen Beschreibungen habe ich unter 🏳️🌈 https://rk7.de/hifi 🏳️🌈 hinterlegt.😊
UC Berkeley's electron microscopy lab uploaded some older videos and presentations, very interesting to watch!
https://www.youtube.com/@UCBEML
I liked this physical stack of images of John Kinnamon's presentation on serial section TEM (https://www.youtube.com/watch?v=uZsRGweYk7c&t=1408s), compared to our modern image stack in computer memory.
Happy to be involved in UNICIL, our new Wellcome Trust Discovery project coordinated by @micromotility.bsky.social
We will study ciliary dynamics across scales and organisms. A long-term #postdoc position will be available at Heidelberg University @uniheidelberg shortly.
@uniofexeter press release:
In our new preprint we describe the synaptic #connectome of the nerve net in the ctenophore gravisensory organ. https://www.biorxiv.org/content/10.1101/2025.06.26.661250v1 #biology #neuroscience #ctenophore #vEM
5 years of V-EM! https://www.3dcandy.live/2025/06/5-years-of-v-em/ #boost #live #livestream #VEm
Arrived at the Volume Electron Microscopy
Gordon Research Conference
https://www.grc.org/volume-electron-microscopy-conference/2025/
near Barcelona. I will speak about Volume EM and #connectomics in marine zoomplankton.
"Comparative connectomics of Drosophila descending and ascending neurons", Tomke Stürner et al. 2025 (Greg Jefferis and Katharina Eichler's labs).
https://www.nature.com/articles/s41586-025-08925-z
Compares between males and females.
V-EM - The Virtual EM Livestreams!
#boost #em #livestreams #vem
https://www.youtube.com/playlist?list=PLxsJbBDIUBCuxrFsJyCZfmsiKo-_tU_MO
The revised version of our #Platynereis #connectome paper is now out:
https://elifesciences.org/reviewed-preprints/97964
Cell-type-level annotation of the whole organisms, including synaptic and desmosomal connectomes. Can be explored with CATMAID here:
https://catmaid-jekelylab.cos.uni-heidelberg.de
#larva #marine #neuroscience #vEM
CGM: Is “More” always better? Dexcom’s G7. More Accurate
As we discussed in the first article in this series, there's a lot of marketing about having More with your CGM, whether that's accuracy or data. First up, we're going to look at Dexcom's G7, which we're told is "More Accurate".
When Dexcom tells us that the G7 is the most accu
https://www.diabettech.com/cgm-more-is-better/cgm-is-more-always-better-dexcoms-g7-more-accurate/
#CGMMoreIsBetter #Dexcom #G6 #G7 #MoreIsBetter #VEM
#Mission und #Völkermord: Das deutsche Erbe in #Namibia http://bit.ly/2laViCl #Kolonialismus #Herero #Nama #VEM #KASA #Afrika
Mission und Völkermord
GridTape TEM with beam deflection to reduce stage movements and increase imaging throughput:
"Fast imaging of millimeter-scale areas with beam deflection transmission electron microscopy", Zhao et al. 2024
https://www.nature.com/articles/s41467-024-50846-4
#TEM #GridTapeTEM #vEM #VolumeEM #connectomics #neuroscience #microscopy #ElectronMicroscopy
Vem, abraça essa ideia
Vem, abraça essa ideia
Durante a noite, enquanto a solidão nos envolve, experimente percorrer as folhas do livro que aquece a alma e nos impulsiona a enxergar novas possibilidades em nosso horizonte.
adquira o livro pelo site
https://caravanagrupoeditorial.com.br/produto/enquanto-a-solidao-me-abraca/
Enquanto a solidão me abraça
Avalie isto:
#abraça #alma #aquece #autoconhecimento #Brasil #enquantoASolidãoMeAbraça #experimente #folhas #horizonte #ideia #impulsiona #livro #Mundo #noite #poema #poesia #PoesiaGeral #solidão #vem #vida
Vem, abraça essa ideia
Durante a noite, enquanto a solidão nos envolve, experimente percorrer as folhas do livro que aquece a alma e nos impulsiona a enxergar novas possibilidades em nosso horizonte.
adquira o livro pelo site
https://caravanagrupoeditorial.com.br/produto/enquanto-a-solidao-me-abraca/
Enquanto a solidão me abraçaAvalie isto:
https://memoriaepoesia.com/2024/07/06/vem-abraca-essa-ideia/
#abraça #alma #aquece #autoconhecimento #Brasil #enquantoASolidãoMeAbraça #experimente #folhas #horizonte #ideia #impulsiona #livro #Mundo #noite #poema #poesia #PoesiaGeral #solidão #vem #vida
Letra da música “Vem” de Atitude 67
#Atitude67 #Vem
https://daletra.com.br/atitude-67/letra/vem.html
Thanks for sharing this – will have to think about it. In our case, we built in-house the gridtape reel holders which amount to a custom stage with a mini-camera in it for identifying slots and controlling imaging. So we don't use the factory-supplied stage.
True as always that the way to make software run faster is to make it do less operations. After all, CPUs can only execute a fixed number of operations per unit of time.
Here, I tweaked code for serial section registration that drops execution time from 27 seconds to 100 milliseconds: a 270x speed up.
All it had to do is to search for matching SIFT features in one image only within a predetermined radius centered on one SIFT feature in another image. Extremely effective for when e.g., the maximum translation is known.
The matching code using a KDTree:
https://github.com/acardona/scripts/blob/master/java/asm/my/PointMatchesFast.java#L56
The test script:
https://github.com/acardona/scripts/blob/dev/python/imagej/FIBSEM/tests/test_matchNearbyFeatures.py