"Enemy infantry and motorized artillery units unprotected by air defence systems become easy prey for our Bayraktars, the quantity of which is always increasing, thanks to our volunteers," said Gromov.Ī Russian official said Moscow's forces had put up stiff resistance and prevented Kyiv's forces from taking at least one key town in the Kharkiv region. He singled out the role of Turkish-made Bayraktar drones.
#Count nuclei imagej for free
Register now for FREE unlimited access to Registerīrigadier General Oleksiy Gromov told a news briefing that Ukrainian forces had advanced up to 50 kilometres (30 miles) behind Russian lines and recaptured more than 20 villages in the Kharkiv region. Some of the biggest gains appear to have been made this week during a surprise Ukrainian counteroffensive in the Kharkiv region of northeastern Ukraine, which saw Kyiv's forces make a sudden and deep thrust behind Russian lines. They would also represent a big boost for Kyiv, which is keen to show its Western backers that it can change the facts on the ground by force and deserves continued support. The gains, if confirmed and held, would be a serious blow for Russia, which Western intelligence services say has suffered huge casualties. KYIV, Sept 8 (Reuters) - Ukraine has recaptured more than 700 sq km (270 sq miles) of its territory in the east and south during a lightning counteroffensive, a Ukrainian general said on Thursday, offering the first official assessment of the operation. Blinken visits Kyiv with new aid package.Russian official partially disputes Kyiv's account.Ukrainian general says 700 sq kms retaken.Says his forces have recaptured towns and villages.Zelenskiy speaks of good news in eastern Ukraine.(Create 'Find Maxima' settings image): Only does the preprocessing.Lower values result in selection of smaller focis. Find Maxima Score Small: Noise value for the Find Maxima function of ImageJ.Higher values result in selection of bigger focis. Find Maxima Score Big: Noise value for the Find Maxima function of ImageJ.Foci Channel: Color of the first and second foci channel.Marker Channel: Color of the marker channel.Core Channel: Color of the core channel.Threshold Method: Automatic threshold method used to threshold the core channel.Optionally, the presence of a marker can be evaluated The macro works on multichannel image stacks containing at least one channel for segmentation of objects and one channel in which the foci are counted. ina ddition intensity based colocalization measures (pearsons/manders) are calculated with the ImageJ plugin JACoP.Įxtracts regions of interest from one channel and measures the intensity on another channel. Two foci are considered as colocalized when the distance between them is at most 2 pixels. Noise parameters are adjusted for each channel. DNA damage foci are identified using the ImageJ Find Maxima command. To correct the background in the damage channels a median (r=30) filtered duplicate was substracted.
#Count nuclei imagej manual
A detailed manual guiding through the single steps of the macro can be downloaded on the right side.Ĭore segmentation is done via an automatic thresholding method on the median filtered (r=2) core channel. Optionally, colocalization with a second foci channel and the presence of a marker can be evaluated. The macro works on multichannel images containing at least one channel for segmentation of objects and one channel in which the foci are counted. The macro evaluates for each cell core the presence of an optional marker, counts the foci in up to two different channels and performs a colocalization between the foci channels.
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