Izdelki
Uporabne povezave
5 Reasons Why You Will Love Cell Counting
In this guide, we explore the cell counting challenges, discuss solutions for precise cell counts, and at least 5 reasons to love this workflow!
The New Frontier of Cell Viability Detection
Cell viability assessment is key in research. Traditional methods detect late-stage damage, missing early stress signs. METTLER TOLEDO's CytoDirect uses DHGM to reveal subtle changes, offering deeper viability insights.
Handbook of Eukaryotic Cell Counting
This handbook delves into the history and discusses the core principles, as well as the ins and outs of the most used cell counting techniques, including advanced topics and special techniques.
Datasheet: CytoDirect Cell Counter
CytoDirect by METTLER TOLEDO is a portable device that offers stain-free, automated cell counting. It uses advanced digital holographic microscopy and machine learning to ensure reliable results in just 15 seconds.
Comparison of Advanced Cell Viability Analysis Methods
Accurate cell viability assessment is vital. This white paper compares METTLER TOLEDO CytoDirect, flow cytometry, and manual counting, highlighting CytoDirect's stain-free, and efficient performance.
Beyond the Biolab
We will explore the fundamentals of cell counting in the cosmetics industry, highlighting challenges. Moreover, we will briefly see how plate reading supports the industry.
FAQs
Kaj je števec celic?
Kako deluje digitalna holografska mikroskopija (DHGM)?
DGHM uporablja koherenten vir svetlobe (laser), ki osvetljuje vzorec, sestavljen iz celic in medija, v katerem so celice suspendirane. Svetloba, razpršena od celic in medija, medsebojno interferira. Vzorec interferenčnega vzorca se imenuje digitalni hologram, ki ga instrument zabeleži v digitalni kameri (slika 1). Po specifični digitalni obdelavi je mogoče rekonstruirati digitalno holografsko mikroskopijo (DHGM) (kot konvencionalne slike svetlobne mikroskopije, s to glavno razliko, da prikazuje lomni količnik vzorca namesto absorpcije). Zaradi nizke svetlobne intenzitete laserja DHGM je mogoče opraviti celično analizo brez vpliva na stanje celic. Z uporabo optimiziranih numeričnih algoritmov in združitvijo DHGM z učenjem stroja (ML) je mogoče nadalje preučevati pridobljeno sliko. Analiza izvleče podrobne informacije o morfologiji ali strukturi celic, kar omogoča prepoznavanje vitalnosti brez potrebe po barvanju. To je izrazita prednost pred tradicionalnimi metodami, ki ne le, da lahko spremenijo integriteto vzorca, ampak so lahko tudi časovno zahtevne, nagnjene k napakam in podvržene variabilnosti med uporabniki.