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Samuel Leeds Buys Shares In Property Tribes; Says He Wants To Make It Better

Published

2 years ago

December 20, 2022

People in UK property circles may be familiar with the very public dispute between former MTV presenter, property investor, and community manager of the company Property Tribes, Vanessa Warwick, & property investment trainer and owner of the company ‘Property Investors’, Samuel Leeds; as Leeds has accused Warwick of assisting with racism and discrimination against ethnic minority tenants. In recent news, Samuel Leeds was reported to have bought a 35% share of the company Property Tribes, making him officially now a person of significant control at Property Tribes.

Warwick established Property Tribes to accumulate wisdom from various property owners and landlords to create a place of guidance for people in the industry to do business better. According to the company,

“We wanted to create a free use, safe, and agenda-free place for landlords to get information from a “hive mind”, not a singularity, so that they could learn and grow their property business.”

However, in one of his recent videos, Samuel Leeds pointed out blatant support of racism in some of the advice coming from Warwick herself. As one of the landlords asks on the forum – if they would be implicated by the race discrimination laws in the UK for refusing tenancy to Bangladeshi families as the landlord is not fond of the smell of their staple food, curry; Vanessa Warwick herself is seen advising against mentioning the reason for said refusal, thus averting the legal repercussions altogether.

In the video, Leeds points out several more situations where Warwick has behaved in a racist manner. In fact, she has become a new advisor on the panel of the UK’s Property Redress Scheme and has been under criticism in their forum as well for supporting discrimination against ethnic minorities.

Warwick also expressed strong disapproval of Leeds as a property trainer citing the reason that his students came from the “vulnerable” demographic. Leeds called out the racist mindset in this reasoning, as in reality, his students predominantly come from ethnic minorities and don’t fall in the “vulnerable” category. He began drawing attention to the issue over his YouTube channel and his website, and ended up facing severe disparagement from Warwick and her followers. Leeds finally sued Warwick for defamation and she brought a counter lawsuit for six-figure damages.

In an attempt to put an end to the battle once and for all, Samuel Leeds reports to have bought a share, 35% to be exact, of the company, Property Tribes. Even though he is only a minority shareholder and will have limited control, Leeds believes he can make a difference in “cleaning up the company” and reduce racism in the forum.

He jokingly adds,

“Because they trolled me, I wanted to at least get paid… Like Michael Jackson did to Eminem.”

Leeds pledges that any money he makes off this transaction will be donated to charitable organisations that tackle racism and online bullying. In addition, Leeds will donate an extra £50,000 to organisations that fight hatred in the UK. With this move, he is determined to take a strong stand against all discriminations in the property sector or any other industry.

Blog

Applications of Automation in Research and Clinical Diagnostics

Published

2 months ago

May 18, 2024

Rosario Farell

Precision counts in the fields of science and medicine. This is particularly true for the basic task of counting and analyzing cells, which is used in both clinical and research settings. The introduction of automatic cell counters, which provide efficiency and accuracy that manual approaches cannot match, has resulted in a notable advancement in this field.

What is Automated Cell Counting?

Automated cell counters are advanced instruments that are made to precisely and swiftly count and examine cells. In contrast to manual counting methods that rely on human vision and a microscope, automated counters use software algorithms and image technology to count and analyze cells. This ensures more accurate findings by expediting the procedure and lowering the possibility of human error.

Type of Automated Cell Counters

There are several types of automated cell counters used in research and clinical diagnostics, each employing different technologies and methods for cell counting. The main types of automated cell counters include:

● Image Cytometers: These devices use optical microscopy to statically image cells, which are frequently labeled to detect certain molecules or provide contrast. Cell counting is aided by the automation of image cytometers made possible by digital cameras.

● Flow Cytometers: Use a regulated flow of suspended cells to align individual cells for analysis. Staining cells with fluorochromes enables visual characterization of the cells and facilitates high-throughput analysis.

● Cell Sorters: Arrange cells according to their electrical properties. Sorting is accomplished by dividing the fluid stream containing the cells into droplets whose electrical charge varies according to the kind of cell and guiding them into various containers.

● Time-Lapse Cytometers: Allow for continuous monitoring of cells in an incubator by employing non-heat-generating light sources, such as LEDs, in conjunction with image cytometry to investigate cellular dynamics without causing damage to living cells.

● Hemocytometers: A qualified technician, an optical microscope, and a gridded slide with known volume wells are used in this manual cell counting approach. Up until the 1950s, hemocytometers were the norm for counting cells.

These various types of automated cell counters provide effective and precise methods for cell counting and analysis, each with unique benefits and uses in clinical and research environments.

Research

Automated cell counters have become indispensable tools in understanding cell behavior. They are used in various research fields, including cancer research, drug discovery, and stem cell therapy.

One of the key benefits in research is the ability to handle large volumes of data. For instance, in drug discovery, automated counters can quickly analyze the effects of thousands of compounds on cell growth and death. This high-throughput capability accelerates the pace of research, allowing scientists to screen potential drugs more efficiently than ever before.

Moreover, automated cell counters offer the precision required to detect subtle changes in cell populations. This is crucial in fields like cancer research, where understanding the behavior of cancer cells can lead to the development of more effective treatments.

Clinical Diagnostics

The impact of automated cell counters extends beyond the research laboratory and into clinical diagnostics. In medical laboratories, these devices play a critical role in routine blood tests, infectious disease diagnostics, and monitoring patient health during treatment.

For example, in a routine complete blood count (CBC), automated cell counters can quickly provide a detailed analysis of different blood cell types. This information is vital for diagnosing conditions such as anemia, infections, and blood cancers. The speed and accuracy of automated counters mean that patients can receive diagnoses and begin treatment more swiftly.

In the context of infectious diseases, automated counters can detect and quantify specific pathogens or immune cells, helping to diagnose infections quickly and accurately. During the COVID-19 pandemic, automated cell counting technologies were instrumental in monitoring virus spread and patients’ immune responses, showcasing their value in crisis situations.

Challenges and Future Directions

The initial cost of these devices can be high, and their operation requires specific technical expertise. Additionally, different types of cells and conditions may require customized counting protocols, necessitating ongoing adjustments and updates to software algorithms.

Looking ahead, ongoing advancements in technology promise to further enhance the capabilities of automated cell counters. The global cell counting market growth is anticipated at a CAGR of 7.5% by 2032. Innovations in imaging technology, artificial intelligence, and machine learning are expected to improve accuracy, speed, and the ability to analyze more complex cell characteristics. As these technologies evolve, automated cell counters will become even more integral to research and diagnostics, opening new avenues for scientific discovery and patient care.